Publications

 


 

Books

 

Schöning, U., Kestler, H. A. Mathe–Toolbox – Mathematische Notationen, Grundbegriffe und Beweismethoden. (Lehmanns Media, 2010).


Maucher, M. On the influence of non-perfect randomness on probabilistic algorithms. (Südwestdeutscher Verlag für Hochschulschriften, 2009). 

 


 

Original Articles

 

Hesse, R.*, Lausser, L.*, Gummert, P., Schmid, F., Wahler, A., Schnack, C., Kroker, K.S., Otto, M., Tumani, H., Kestler, H.A., Rosenbrock, H., von Arnim, C.A.F.. Reduced cGMP levels in CSF of AD patients correlate with severity of dementia and current depression. Alzheimer’s Research & Therapy 9(17): 1-11, 2017. *equal contribution
 
Münch, V., Trentin, L., Herzig, J., Demir, S., Seyfried, F., Kraus, J. M., Kestler, H. A., Köhler, R., Barth, T. F. E., te Kronnie, G., Debatin, K.-M., Meyer, L. H. Central Nervous System Involvement in Acute Lymphoblastic Leukemia Is Mediated by Vascular Endothelial Growth Factor. Blood (2017). 
 

Schwab, J., Burkovski, A., Siegle, L., Müssel, C., Kestler, H. A. ViSiBooL—visualization and simulation of Boolean networks with temporal constraints. Bioinformatics 33(4), 2017, 601-604. 

 

Völkel, G., Wiese, S., Holzmann, K., Kraus, J. M., Schneider, F., Görlach, M., Kestler, H. A. TraqBio - Flexible Progress Tracking for Core Unit Projects. PLOS ONE 11, e0162857 (2016).

 

Taudien, S., Lausser, L., Giamarellos-Bourboulis, E. J., Sponholz, C., Schöneweck, F., Felder, M., Schirra, L.-R., Schmid, F., Gogos, C., Groth, S., Petersen, B.-S., Franke, A., Lieb, W., Huse, K., Zipfel, P. F., Kurzai, O., Moepps, B., Gierschik, P., Bauer, M., Scherag, A., Kestler, H. A., Platzer, M. Genetic Factors of the Disease Course After Sepsis: Rare Deleterious Variants Are Predictive. EBioMedicine 12, 227–238 (2016).

 

Schmid, F., Schmid, M., Müssel, C., Sträng, J. E., Buske, C., Bullinger, L., Kraus, J. M., Kestler, H. A. GiANT: gene set uncertainty in enrichment analysis. Bioinformatics 32, 1891–1894 (2016).

 

Schade, A., Walliser, C., Wist, M., Haas, J., Vatter, P., Kraus, J. M., Filingeri, D., Havenith, G., Kestler, H. A., Milner, J. D., Gierschik, P. Cool-temperature-mediated activation of phospholipase C-γ 2 in the human hereditary disease PLAID. Cellular Signalling 28, 1237–1251 (2016).

 

Müssel, C., Schmid, F., Blätte, T. J., Hopfensitz, M., Lausser, L., Kestler, H. A. BiTrinA—multiscale binarization and trinarization with quality analysis. Bioinformatics 32, 465–468 (2016).

 

Lausser, L., Schmid, F., Schirra, L.-R., Wilhelm, A. F. X., Kestler, H. A. Rank-based classifiers for extremely high-dimensional gene expression data. Advances in Data Analysis and Classification (2016). 

 

Lausser, L., Schmid, F., Kestler, H. A. Semantic multi-classifier systems for the analysis of gene expression profiles. Archives of Datascience Series A 1, 1–19 (2016).

  

Krowiorz, K., Ruschmann, J., Lai, C., Ngom, M., Maetzig, T., Martins, V., Scheffold, A., Schneider, E., Pochert, N., Miller, C., Palmqvist, L., Staffas, A., Mulaw, M., Bohl, S. R., Buske, C., Heuser, M., Kraus, J., O’Neill, K., Hansen, C. L., Petriv, O. I., Kestler, H., Döhner, H., Bullinger, L., Döhner, K., Humphries, R. K., Rouhi, A., Kuchenbauer, F. MiR-139-5p is a potent tumor suppressor in adult acute myeloid leukemia. Blood Cancer Journal 6, e508 (2016).

  

Kaistha, B. P., Lorenz, H., Schmidt, H., Sipos, B., Pawlak, M., Gierke, B., Kreider, R., Lankat-Buttgereit, B., Sauer, M., Fiedler, L., Krattenmacher, A., Geisel, B., Kraus, J. M., Frese, K. K., Kelkenberg, S., Giese, N. A., Kestler, H. A., Gress, T. M., Buchholz, M. PLAC8 Localizes to the Inner Plasma Membrane of Pancreatic Cancer Cells and Regulates Cell Growth and Disease Progression through Critical Cell-Cycle Regulatory Pathways. Cancer Research 76, 96–107 (2016).

 

Gaidzik, V. I., Teleanu, V., Papaemmanuil, E., Weber, D., Paschka, P., Hahn, J., Wallrabenstein, T., Kolbinger, B., Köhne, C. H., Horst, H. A., Brossart, P., Held, G., Kündgen, A., Ringhoffer, M., Götze, K., Rummel, M., Gerstung, M., Campbell, P., Kraus, J. M., Kestler, H. A., Thol, F., Heuser, M., Schlegelberger, B., Ganser, A., Bullinger, L., Schlenk, R. F., Döhner, K., Döhner, H. RUNX1 mutations in acute myeloid leukemia are associated with distinct clinico-pathologic and genetic features. Leukemia 30, 2160–2168 (2016).

 

Dahlhaus, M., Burkovski, A., Hertwig, F., Müssel, C., Volland, R., Fischer, M., Debatin, K.-M., Kestler, H. A., Beltinger, C. Boolean modeling identifies Greatwall/MASTL as an important regulator in the AURKA network of neuroblastoma. Cancer Letters 371, 79–89 (2016).

 

Burkovski, A., Schirra, L. R., Schmid, F., Kestler, H. A. Ordinal prototype-based classifiers. Archives of Datascience Series A (2016).

 

Volkel, G., Lausser, L., Schmid, F., Kraus, J. M., Kestler, H. A. Sputnik: ad hoc distributed computation. Bioinformatics 31, 1298–1301 (2015).

 

Tao, S., Tang, D., Morita, Y., Sperka, T., Omrani, O., Lechel, A., Sakk, V., Kraus, J., Kestler, H. A., Kühl, M., Rudolph, K. L. Wnt activity and basal niche position sensitize intestinal stem and progenitor cells to DNA damage. The EMBO Journal 34, 624–640 (2015).

 

Schmid, M., Kestler, H. A., Potapov, S. On the validity of time-dependent AUC estimators. Briefings in Bioinformatics 16, 153–168 (2015).

 

Reichwald, K., Petzold, A., Koch, P., Downie, B. R., Hartmann, N., Pietsch, S., Baumgart, M., Chalopin, D., Felder, M., Bens, M., Sahm, A., Szafranski, K., Taudien, S., Groth, M., Arisi, I., Weise, A., Bhatt, S. S., Sharma, V., Kraus, J. M., Schmid, F., Priebe, S., Liehr, T., Görlach, M., Than, M. E., Hiller, M., Kestler, H. A., Volff, J.-N., Schartl, M., Cellerino, A., Englert, C., Platzer, M. Insights into Sex Chromosome Evolution and Aging from the Genome of a Short-Lived Fish. Cell 163, 1527–1538 (2015).

 

Naldi, A., Monteiro, P. T., Müssel, C., the Consortium for Logical Models and Tools, Kestler, H. A., Thieffry, D., Xenarios, I., Saez-Rodriguez, J., Helikar, T., Chaouiya, C. Cooperative development of logical modelling standards and tools with CoLoMoTo. Bioinformatics 31, 1154–1159 (2015).

 

Meena, J. K., Cerutti, A., Beichler, C., Morita, Y., Bruhn, C., Kumar, M., Kraus, J. M., Speicher, M. R., Wang, Z., Kestler, H. A., d’Adda di Fagagna, F., Günes, C., Rudolph, K. L. Telomerase abrogates aneuploidy‐induced telomere replication stress, senescence and cell depletion. The EMBO Journal 34, 1371 (2015).

 

Hein, K., Mittler, G., Cizelsky, W., Kühl, M., Ferrante, F., Liefke, R., Berger, I. M., Just, S., Sträng, J. E., Kestler, H. A., Oswald, F., Borggrefe, T. Site-specific methylation of Notch1 controls the amplitude and duration of the Notch1 response. Science Signaling 8, ra30-ra30 (2015).

 

Grieb, M., Burkovski, A., Sträng, J. E., Kraus, J. M., Groß, A., Palm, G., Kühl, M., Kestler, H. A. Predicting Variabilities in Cardiac Gene Expression with a Boolean Network Incorporating Uncertainty. PLOS ONE 10, e0131832 (2015).

 

Gaulton, K. J., Ferreira, T., Lee, Y., Raimondo, A., Mägi, R., Kestler, H.A., Morris, A. et al. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nature Genetics 47, 1415–1425 (2015).

 

Fürstberger, A., Maucher, M., Kestler, H. A. Extended pairwise local alignment of wild card DNA/RNA sequences using dynamic programming. Journal of Statistical Computation and Simulation 85, 3–13 (2015).

 

Moreno, D., Neller, J., Kestler, H. A., Kraus, J., Dunkler, A., Johnsson, N. A fluorescent reporter for mapping cellular protein-protein interactions in time and space. Molecular Systems Biology 9, 647–647 (2014).

 

Maucher, M., Kracht, D. V., Schober, S., Bossert, M., Kestler, H. A. Inferring Boolean functions via higher-order correlations. Computational Statistics 29, 97–115 (2014).

 

Lausser, L., Schmid, F., Schmid, M., Kestler, H. A. Unlabeling data can improve classification accuracy. Pattern Recognition Letters 37, 15–23 (2014).

 

Lausser, L., Müssel, C., Melkozerov, A., Kestler, H. A. Identifying predictive hubs to condense the training set of k -nearest neighbour classifiers. Computational Statistics 29, 81–95 (2014).

 

Kraus, J. M., Lausser, L., Kestler, H. A. Exhaustive k-nearest-neighbour subspace clustering. Journal of Statistical Computation and Simulation 85, 30–46 (2014).

 

Kraus, J. M., Kestler, H. A. Use of domain knowledge to assess the reliability of hierarchical clusterings. Journal of Statistical Computation and Simulation (2014).

 

Gonzalez, O. G., Assfalg, R., Koch, S., Schelling, A., Meena, J. K., Kraus, J., Lechel, A., Katz, S.-F., Benes, V., Scharffetter-Kochanek, K., Kestler, H. A., Günes, C., Iben, S. Telomerase stimulates ribosomal DNA transcription under hyperproliferative conditions. Nature Communications 5, (2014).

 

Azoitei, N., Diepold, K., Brunner, C., Rouhi, A., Genze, F., Becher, A., Kestler, H., van Lint, J., Chiosis, G., Koren, J., Frohling, S., Scholl, C., Seufferlein, T. HSP90 Supports Tumor Growth and Angiogenesis through PRKD2 Protein Stabilization. Cancer Research 74, 7125–7136 (2014).
 

Radulovic, K., Rossini, V., Manta, C., Holzmann, K., Kestler, H. A., Niess, J. H. The Early Activation Marker CD69 Regulates the Expression of Chemokines and CD4 T Cell Accumulation in Intestine. PLoS ONE 8, e65413 (2013).


Schels, M., Scherer, S., Glodek, M., Kestler, H. A., Palm, G., Schwenker, F. On the discovery of events in EEG data utilizing information fusion. Computational Statistics 28, 5–18 (2013).
 

Kletting, P., Schimmel, S., Kestler, H. A., Hänscheid, H., Luster, M., Fernández, M., Bröer, J. H., Nosske, D., Lassmann, M., Glatting, G. Molecular radiotherapy: The NUKFIT software for calculating the time-integrated activity coefficient: NUKFIT software. Medical Physics 40, 102504 (2013).

 

Schnattinger, T., Schöning, U., Marchfelder, A., Kestler, H. A. RNA-Pareto: interactive analysis of Pareto-optimal RNA sequence-structure alignments. Bioinformatics 29, 3102–3104 (2013).


Schnattinger, T., Schöning, U., Kestler, H. A. Structural RNA alignment by multi-objective optimization. Bioinformatics 29, 1607–1613 (2013).


Lausser, L., Müssel, C., Maucher, M., Kestler, H. A. Measuring and visualizing the stability of biomarker selection techniques. Computational Statistics 28, 51–65 (2013).

 

Florian, M. C., Nattamai, K. J., Dörr, K., Marka, G., Überle, B., Vas, V., Eckl, C., Andrä, I., Schiemann, M., Oostendorp, R. A. J., Scharffetter-Kochanek, K., Kestler, H. A., Zheng, Y., Geiger, H. A canonical to non-canonical Wnt signalling switch in haematopoietic stem-cell ageing. Nature 503, 392–396 (2013).

 

Hopfensitz, M., Müssel, C., Maucher, M., Kestler, H. A. Attractors in Boolean networks: a tutorial. Computational Statistics 28, 19–36 (2013).

 

Zickler, A. M., Hampp, S., Messiaen, L., Bengesser, K., Mussotter, T., Roehl, A. C., Wimmer, K., Mautner, V.-F., Kluwe, L., Upadhyaya, M., Pasmant, E., Chuzhanova, N., Kestler, H. A., Högel, J., Legius, E., Claes, K., Cooper, D. N., Kehrer-Sawatzki, H. Characterization of the nonallelic homologous recombination hotspot PRS3 associated with type-3 NF1 deletions. Human Mutation 33, 372–383 (2012).

 

Watabe-Rudolph, M., Song, Z., Lausser, L., Schnack, C., Begus-Nahrmann, Y., Scheithauer, M.-O., Rettinger, G., Otto, M., Tumani, H., Thal, D. R., Attems, J., Jellinger, K. A., Kestler, H. A., von Arnim, C. a. F., Rudolph, K. L. Chitinase enzyme activity in CSF is a powerful biomarker of Alzheimer disease. Neurology 78, 569–577 (2012).

 

Wang, J., Sun, Q., Morita, Y., Jiang, H., Groß, A., Lechel, A., Hildner, K., Guachalla, L. M., Gompf, A., Hartmann, D., Schambach, A., Wuestefeld, T., Dauch, D., Schrezenmeier, H., Hofmann, W.-K., Nakauchi, H., Ju, Z., Kestler, H. A., Zender, L., Rudolph, K. L. A Differentiation Checkpoint Limits Hematopoietic Stem Cell Self-Renewal in Response to DNA Damage. Cell 148, 1001–1014 (2012).

 

Seyfried, F., Accordi, B., Queudeville, M., Eckhoff, S., Milani, G., Galla, L., Giordan, M., Kraus, J., Basso, G., Kestler, H., te Kronnie, G., Debatin, K., Meyer, L. Reverse Phase Protein Array (RPPA) of High Risk ALL. Klinische Pädiatrie 224, (2012).

 

Radulovic, K., Manta, C., Rossini, V., Holzmann, K., Kestler, H. A., Wegenka, U. M., Nakayama, T., Niess, J. H. CD69 Regulates Type I IFN-Induced Tolerogenic Signals to Mucosal CD4 T Cells That Attenuate Their Colitogenic Potential. The Journal of Immunology 188, 2001–2013 (2012).

 

Müssel, C., Lausser, L., Maucher, M., Kestler, H. A. Multi-Objective Parameter Selection for Classifiers. Journal of Statistical Software 46, (2012).

 

Krndija, D., Munzberg, C., Maass, U., Hafner, M., Adler, G., Kestler, H. A., Seufferlein, T., Oswald, F., von Wichert, G. The phosphatase of regenerating liver 3 (PRL-3) promotes cell migration through Arf-activity-dependent stimulation of integrin 5 recycling. Journal of Cell Science 125, 3883–3892 (2012).

 

Kleger, A., Mahaddalkar, P. U., Katz, S., Lechel, A., Joo, J. Y., Loya, K., Lin, Q., Hartmann, D., Liebau, S., Kraus, J. M., Cantz, T., Kestler, H. A., Zaehres, H., Schöler, H., Rudolph, K. L. Increased Reprogramming Capacity of Mouse Liver Progenitor Cells, Compared With Differentiated Liver Cells, Requires the BAF Complex. Gastroenterology 142, 907–917 (2012).

 

Katz, S., Lechel, A., Obenauf, A. C., Begus–Nahrmann, Y., Kraus, J. M., Hoffmann, E. M., Duda, J., Eshraghi, P., Hartmann, D., Liss, B., Schirmacher, P., Kestler, H. A., Speicher, M. R., Rudolph, K. L. Disruption of Trp53 in Livers of Mice Induces Formation of Carcinomas With Bilineal Differentiation. Gastroenterology 142, 1229–1239.e3 (2012).

 

Hopfensitz, M., Müssel, C., Wawra, C., Maucher, M., Kühl, M., Neumann, H., Kestler, H. A. Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics 9, 487–498 (2012).

 

Herrmann, F., Groß, A., Zhou, D., Kestler, H. A., Kühl, M. A Boolean Model of the Cardiac Gene Regulatory Network Determining First and Second Heart Field Identity. PLOS ONE 7,e46798 (2012).

 

Gress, T. M., Kestler, H. A., Lausser, L., Fiedler, L., Sipos, B., Michalski, C. W., Werner, J., Giese, N., Scarpa, A., Buchholz, M. Differentiation of multiple types of pancreatico-biliary tumors by molecular analysis of clinical specimens. Journal of Molecular Medicine 90, 457–464 (2012).

 

Gradinaru, C., Lopacinska, J. M., Huth, J., Kestler, H. A., Flyvbjerg, H., Mølhave, K. Assessment of Automated Analyses of Cell Migration on Flat and Nanostructured Surfaces. Computational and Structural Biotechnology Journal 1, e201207004 (2012).

 

Floßbach, L., Kraus, J. M., Holzmann, K., Möller, P., Kestler, H. A., Barth, T. F. E. Comparative analysis of gene expression profiles defines large cell variants of gastric marginal zone B-cell lypmphoma as a distinct subgroup. Der Pathologe 33, 29 (2012).

 

Begus-Nahrmann, Y., Hartmann, D., Kraus, J. M., Eshraghi, P., Scheffold, A., Grieb, M., Rasche, V., Schirmacher, P., Lee, H.-W., Kestler, H. A., Lechel, A., Rudolph, K. L. Transient telomere dysfunction induces chromosomal instability and promotes carcinogenesis. The Journal of Clinical Investigation 122, 2283–2288 (2012).

 

Azoitei, N., Hoffmann, C. M., Ellegast, J. M., Ball, C. R., Obermayer, K., Gößele, U., Koch, B., Faber, K., Genze, F., Schrader, M., Kestler, H. A., Döhner, H., Chiosis, G., Glimm, H., Fröhling, S., Scholl, C. Targeting of KRAS mutant tumors by HSP90 inhibitors involves degradation of STK33. J Exp Med 209, 697–711 (2012).

 

Russ, A. C., Sander, S., Lück, S. C., Lang, K. M., Bauer, M., Rücker, F. G., Kestler, H. A., Schlenk, R. F., Döhner, H., Holzmann, K., Döhner, K., Bullinger, L. Integrative nucleophosmin mutation-associated microRNA and gene expression pattern analysis identifies novel microRNA - target gene interactions in acute myeloid leukemia. Haematologica 96, 1783–91 (2011).

 

Meyer, L.-H., Eckhoff, S. M., Queudeville, M., Kraus, J. M., Giordan, M., Stursberg, J., Zangrando, A., Vendramini, E., Moericke, A., Zimmermann, M., Schrauder, A., Lahr, G., Holzmann, K., Schrappe, M., Basso, G., Stahnke, K., Kestler, H. A., Kronnie, G., Debatin, K.-M. Early Relapse in Pediatric ALL is identified by Time To Leukemia in NOD/SCID mice and is characterized by a gene signature involving survival pathways. Cancer Cell 19, 206–217 (2011).

 

 
Maucher, M., Schöning, U., Kestler, H. A. Search heuristics and the influence of non-perfect randomness - Examining Genetic Algorithms and Simulated Annealing. Computational Statistics26, 303–319 (2011).

 

 

Maucher, M., Kracher, B., Kühl, M., Kestler, H. A. Inferring Boolean network structure via correlation. Bioinformatics 27, 1529–36 (2011).

 

Kraus, J. M., Müssel, C., Palm, G., Kestler, H. A. Multi-objective selection for collecting cluster alternatives. Computational Statistics 26, 341–353 (2011).

 

Kestler, H. A., Lausser, L., Lindner, W., Palm, G. On the fusion of threshold classifiers for categorization and dimensionality reduction. Computational Statistics 26, 321–340 (2011).

 

Kestler, H. A., Kühl, M. Generating a Wnt switch: it’s all about the right dosage. J Cell Biol 193, 431–3 (2011).

 

Juchems, M., Römpp, A., Kestler, H. A., Ernst, A., Brambs, H.-J., Adler, G., Aschoff, A., Wagner, M. CT-Kolonographie versus Videokoloskopie zum Nachweis kolorektaler Läsionen in der Vorsorgepopulation. Georg Thieme Verlag KG 32, 173–178 (2011).

 

Huth, J., Buchholz, M., Kraus, J. M., Mølhave, K., Gradinaru, C., Wichert, G. von, Gress, T. M., Neumann, H., Kestler, H. A. TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy. Computer Methods and Programs in Biomedicine 104, 227–234 (2011).

 

Stephen, S. L., Montini, E., Sivanandam, V. G., Al-Dhalimy, M., Kestler, H. A., Finegold, M., Grompe, M., Kochanek, S. Chromosomal integration of adenoviral vector DNA in vivo. J Virol84, 833–838 (2010).

 

Song, Z., Figura, G. von, Liu, Y., Kraus, J. M., Torrice, C., Dillon, P., Rudolph-Watabe, M., Ju, Z., Kestler, H. A., Sanoff, H., Rudolph, K. L. Lifestyle impacts on the aging associated expression of biomarkers of DNA damage and telomere dysfunction in human blood. Aging Cell 9, 607–615 (2010).

  

Müssel, C., Hopfensitz, M., Kestler, H. A. BoolNet - an R package for generation, reconstruction, and analysis of Boolean networks. Bioinformatics 26, 1378–1380 (2010).

  

Kraus, J. M., Kestler, H. A. A highly efficient multi-core algorithm for clustering extremely large datasets. BMC Bioinformatics 11, 169 (2010).

 

Kestler, H. A. Visualization, clustering and classification in functional genomics. (2010).

 

Huth, J., Buchholz, M., Kraus, J. M., Schmucker, M., Wichert, G. von, Krndija, D., Seufferlein, T., Gress, T. M., Kestler, H. A. Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system. BMC Cell Biol 11, 24 (2010).

 

Chevillotte, M., Einem, J. von, Meier, B. M., Lin, F. M., Kestler, H. A., Mertens, T. A new tool linking human cytomegalovirus drug resistance mutations to resistance phenotypes. Antiviral Res. 85, 318–327 (2010).

 

Schwänen, C., Viardot, A., Berger, H., Barth, T. F., Bentink, S., Döhner, H., Enz, M., Feller, A. C., Hansmann, M. L., Hummel, M., Kestler, H. A., Klapper, W., Kreuz, M., Lenze, D., Loeffler, M., Möller, P., Müller-Hermelink, H. K., Ott, G., Rosolowski, M., Rosenwald, A., Ruf, S., Siebert, R., Spang, R., Stein, H., Truemper, L., Lichter, P., Bentz, M., Wessendorf, S. Microarray-based genomic profiling reveals novel genomic aberrations in follicular lymphoma which associate with patient survival and gene expression status. Genes Chromosomes Cancer 48, 39–54 (2009).

 

Hombach, V., Merkle, N., Torzewski, J., Kraus, J. M., Kunze, M., Zimmermann, O., Kestler, H. A., Wöhrle, J. Electrocardiographic and cardiac magnetic resonance imaging parameters as predictors of a worse outcome in patients with idiopathic dilated cardiomyopathy. Eur Heart J 30, 1110–25 (2009).

 

Begus-Nahrmann, Y., Lechel, A., Obenauf, A. C., Nalapareddy, K., Peit, E., Hoffmann, E., Schlaudraff, F., Liss, B., Schirmacher, P., Kestler, H. A., Danenberg, E., Barker, N., Clevers, H., Speicher, M. R., Rudolph, K. L. p53 deletion impairs clearance of chromosomal-instable stem cells in aging telomere-dysfunctional mice. Nat Genet. 41, 1138–43 (2009).

 

Wöhrle, J., Marx, N., König, W., Hombach, V., Kestler, H. A., Höher, M., Nusser, T. Impact of pioglitazone on coronary endothelial function in non-diabetic patients with coronary artery disease. Clinical Research in Cardiology 97, 726–733 (2008).

 

Sträng, J. E. Localization of quantum wave packets. Journal of Physics A: Mathematical and Theoretical 41, 35307 (2008).

 

Sander, S., Bullinger, L., Klapproth, K., Fiedler, K., Kestler, H. A., Barth, T. F., Möller, P., Stilgenbauer, S., Pollack, J. R., Wirth, T. MYC stimulates EZH2 expression by repression of its negative regulator miR-26a. Blood 112, 4202–4212 (2008).

 

Kestler, H. A., Müller, A., Kraus, J. M., Buchholz, M., Gress, T. M., Liu, H., Kane, D. W., Zeeberg, B. R., Weinstein, J. N. VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays. BMC Bioinformatics 9, 67 (2008).

 

Hombach, V., Merkle, N., Kestler, H. A., Torzewski, J., Kochs, M., Marx, N., Nusser, T., Burgstahler, C., Rasche, V., Bernhardt, P., Kunze, M., Wöhrle, J. Characterization of patients with acute chest pain using cardiac magnetic resonance imaging. Clinical Research in Cardiology 97, 760–767 (2008).

 

Wöhrle, J., Nusser, T., Krause, B. J., Kochs, M., Habig, T., Mottaghy, F. M., Kestler, H. A., Hombach, V. Patients with in-stent restenoses: comparison of intracoronary beta-brachytherapy using a rhenium-188 filled balloon catheter with the polymer-based paclitaxel-eluting taxus-express stent. Nuklearmedizin 46, 185–91 (2007).

 

 
Wöhrle, J., Nusser, T., Kestler, H. A., Kochs, M., Hombach, V. Comparison of the slow-release polymerbased paclitaxel-eluting Taxus-Express stent with the bare-metal Express stent for saphenous vein graft interventions. Clinical Research in Cardiology 96, 70–76 (2007).

  

Wessendorf, S., Barth, T. F. E., Viardot, A., Müller, A., Kestler, H. A., Kohlhammer, H., Lichter, P., Bentz, M., Döhner, H., Möller, P., Schwänen, C. Further delinieation of chromosomal consensus regions in primary mediastinal B-cell lymphomas – an analysis of 37 tumor samples using high resolution genomic profiling (array-CGH). Leukemia 21, 2463–9 (2007).

 

Wawra, C., Kühl, M., Kestler, H. A. Extended analyses of the Wnt/beta-catenin pathway: Robustness and oscillatory behaviour. FEBS Lett 581/21, 4043–4048 (2007).

 

Müller, A., Holzmann, K.-H., Kestler, H. A. Visualization of genomic aberrations using Affymetrix SNP arrays. Bioinformatics 23, 496–7 (2007).

 

Merkle, N., Wöhrle, J., Grebe, O. C., Nusser, T., Kunze, M., Kestler, H. A., Kochs, M., Hombach, V. Assessment of myocardial perfusion to detect coronary artery stenoses by steady-state-free-precession magnetic resonance first-pass imaging. Heart 93, 1381–1385 (2007).

 

Kraus, J. M., Palm, G., Kestler, H. A. On the robustness of semi-supervised hierarchical graph clustering in functional genomics. 5th International Workshop on Mining and Learning with Graphs, Florenz 147–150 (2007).

 

Hofmeister, T., Schöning, U., Schuler, R., Watanabe, O. Randomized Algorithms for 3-SAT. Theory of Computing Systems 40, 249–262 (2007).

 

Fensterer, H., Radlwimmer, B., Sträter, J., Buchholz, M., Aust, D. E., Julié, C., Radvanyi, F., Nordlinger, B., Belluco, C., Cutsem, E. V., Köhne, C.-H., Kestler, H. A., Schwänen, C., Nessling, M., Lutz, M. P., Lichter, P., Gress, T. M., the EORTC Gastrointestinal (GI) Group. Matrix-comparative genomic hybridization from multicenter formalin-fixed paraffin-embedded colorectal cancer tissue blocks. BMC Cancer 7, 58 (2007).

 

Barth, T. F. E., Barth, C. A., Kestler, H. A., Michl, P., Weniger, M. A., Buchholz, M., Möller, P., Gress, T. Transcriptional profiling suggests that secondary and primary large B-cell lymphomas of the gastrointestinal (GI) tract are blastic variants of GI marginal zone lymphoma. The Journal of Pathology 211, 305–313 (2007).

 

Anton, R., Kestler, H. A., Kühl, M. Beta-catenin signaling contributes to stemness and regulates early differentiation in murine embryonic stem cells. FEBS Letters 581, 5247–54 (2007).

 

Wöhrle, J., Nusser, T., Merkle, N., Kestler, H. A., Grebe, O. C., Marx, N., Höher, M., Kochs, M., Hombach, V. Myocardial Perfusion Reserve in Cardiovascular Magnetic Resonance: Correlation to Coronary Microvascular Dysfunction. Journal of Cardiovascular Magnetic Resonance 8, 781–787 (2006).

 

Weber, H., Bhanot, U., Kestler, H. A., Kohlhammer, H., Wessendorf, S., Schwänen, C., Döhner, H., Gress, T. M., Holzmann, K. Use of genomic DNA-chip hybridizations (matrix-CGH/array-CGH) for detection of novel genetic alterations in pancreatic carcinomas. First AACR International Conference on Molecular Diagnostics in Cancer Therapeutic Development 12–15 (2006).

 

Rücker, F. G., Bullinger, L., Schwänen, C., Lipka, D. B., Wessendorf, S., Fröhling, S., Bentz, M., Miller, S., Scholl, C., Schlenk, R. F., Radlwimmer, B., Kestler, H. A., Pollack, J. R., Lichter, P., Döhner, K., Döhner, H. Disclosure of Candidate Genes in Acute Myeloid Leukemia With Complex Karyotypes Using Microarray-Based Molecular Characterization. J of Clinical Oncology 24, 3887–3894 (2006).

 

Nusser, T., Höher, M., Merkle, N., Grebe, O., Spiess, J., Kestler, H. A., Rasche, V., Kochs, M., Hombach, V., Wöhrle, J. Cardiac Magnetic Resonance Imaging and Transesophageal Echocardiography in Patients With Transcatheter Closure of Patent Foramen Ovale. Journal of the American College of Cardiology 48, 322–329 (2006).

 

Merkle, N., Nusser, T., Grebe, O., Kunze, M., Kestler, H. A., Kochs, M., Hombach, V, Wöhrle, J. Assessment of myocardial perfusion to detect coronary artery stenoses by steady-state-free-precession magnetic resonance first-pass imaging. J Am Coll Cardiol 98 Suppl. 8A, TCT-208 (2006).

 

Fischer, M., Thai, Q., Grieb, M., Pleiss, J. DWARF - a data warehouse system for analyzing protein families. BMC Bioinformatics 7, 495 (2006).

 

Wöhrle, J., Merkle, N., Grebe, O., Kestler, H. A., Marx, N., Höher, M., Kochs, M., Hombach, V., Nusser, T. Korrelation der myokardialen Perfusionsreserve in der Magnetresonanztomographie mit der koronaren Endothelfunktion, inflammatorischen und endothelialen Markern. 71. Jahrestagung der Deutschen Gesellschaft für Kardiologie (2005).

 

Buchholz, M., Kestler, H. A., Holzmann, K., Ellenrieder, V., Schneiderhan, W., Siech, M., Adler, G., Bachem, M. G., Gress, T. M. Transcriptome analysis of human hepatic and pancreatic stellate cells: organ-specific variations of a common transcriptional phenotype. Journal of Molecular Medicine 83, 795–805 (2005).

 

Sträng, J. E. On the characteristic exponents of Floquet solutions to the Mathieu equation. Acad. Roy. Belg. Bull. Cl. Sci. (6) 16, 269–287 (2005).

 

Sträng, J. E., Östborn, P. Wave patterns in frequency-entrained oscillator lattices. Phys. Rev. E 72, 56137 (2005).

 

Schuler, R. An algorithm for the satisfiability problem of formulas in conjunctive normal form. Journal of Algorithms 54, 40–44 (2005).

 

Rucker, F. G., Bullinger, L., Kestler, H. A., Lichter, P., Döhner, K., Döhner, H. Disclosure of copy number alterations in AML with normal karyotype using matrix-based comparative genomic hybridization. American Society of Hematology 106, 224a (2005).

 

Kestler, H. A., Müller, A., Gress, T. M., Buchholz, M. Generalized Venn Diagrams: A new method of visualizing complex genetic set relations. Bioinformatics 21, 1592–5 (2005).

 

Kempe, S., Kestler, H. A., Lasar, A., Wirth, T. NF-kappaB controls the global pro-inflammatory response in endothelial cells: evidence for the regulation of a pro-atherogenic program. Nucleic Acids Res 33, 5308–19 (2005).

 

Hombach, V., Grebe, O., Merkle, N., Waldenmaier, S., Hoher, M., Kochs, M., WÖhrle, J., Kestler, H. A. Sequelae of acute myocardial infarction regarding cardiac structure and function and their prognostic significance as assessed by magnetic resonance imaging. Eur Heart J 26, 549–557 (2005).

 

Buchholz, M., Kestler, H. A., Bauer, A., Böck, W., Rau, B., Leder, G., Kratzer, W., Bommer, M., Scarpa, A., Schilling, M. K., Adler, G., Hoheisel, J. D., Gress, T. M. Specialized DNA arrays for the differentiation of pancreatic tumors. Clin Cancer Res 11, 8048–54 (2005).

 

Buchholz, M., Braun, M., Heidenblut, A., Kestler, H. A., Klöppel, G., Schmiegel, W., Hahn, S. A., Lüttges, J., Gress, T. M. Transcriptome analysis of microdissected pancreatic intraepithelial neoplasitc lesions. Oncogene 24, 6626–36 (2005).

 

Wöhrle, J., Kochs, M., Vollmer, C., Kestler, H. A., Hombach, V., Höher, M. Re-angioplasty of in-stent restenosis versus balloon restenoses–a matched pair comparison. Int J Cardiol 93, 257–62 (2004).

 

Schwaenen, C., Nessling, M., Wessendorf, S., Salvi, T., Wrobel, G., Radlwimmer, B., Kestler, H. A., Haslinger, C., Stilgenbauer, S., Döhner, H., Bentz, M., Lichter, P. Automated array-based genomic profiling in chronic lymphocytic leukemia: Development of a clinical tool and discovery of recurrent genomic alterations. Proc Natl Acad Sci U S A 101, 1039–1044 (2004).

 

Moennich, H. K., Schatz, A., Linhart, T., Buchholz, M., Kestler, H. A., Wagner, M., Adler, G., Gress, T. M., Ellenrieder, V. Diagnostische Wertigkeit und Funktion des Calcineurin-NFAT2- Signalweges im Pankreaskarzinom. Z Gastroenterol 42, P231 (2004).

  

Mattfeldt, T., Trijic, D., Gottfried, H.-W., Kestler, H. A. Incidental carcinoma of the prostate: clinicopathological, stereological and immunohistochemical findings studied with logistic regression and self-organizing feature maps. BJU International 93, 284–290 (2004).

 

Mattfeldt, T., Trijic, D., Gottfried, H.-W., Kestler, H. A. Classification of incidental carcinoma of the prostate using learning vector quantization and support vector machines. Cellular Oncology 26, 45–55 (2004).

 

Mattfeldt, T., Kestler, H. A., Sinn, H.-P. Prediction of the axillary lymph node status in mammary cancer on the basis of clinicopathological data and flow cytometry. Medical & Biological Engineering & Computing 42, 733–739 (2004).

 

Kohlhammer, H., Schwaenen, C., Wessendorf, S., Holzmann, K., Kestler, H. A., Kienle, D., Barth, T. F., Möller, P., Ott, G., Kalla, J., Radlwimmer, B., Pscherer, A., Stilgenbauer, S., Döhner, H., Lichter, P., Bentz, M. Genomic DNA-chip hybridization in t(11;14)-positive mantle cell lymphomas shows a high frequency of aberrations and allows a refined characterization of consensus regions. Blood 104, 795–801 (2004).

 

Holzmann, K., Kohlhammer, H., Schwaenen, C., Wessendorf, S., Kestler, H. A., Schwoerer, A., Rau, B., Radlwimmer, B., Döhner, H., Lichter, P., Gress, T., Bentz, M. Genomic DNA-chip hybridization reveals a higher incidence of genomic amplifications in pancreatic cancer than conventional comparative genomic hybridization and leads to the identification of novel candidate genes. Cancer Research 46, 4428–33 (2004).


Fensterer, H., Giehl, K., Buchholz, M., Ellenrieder, V., Buck, A., Kestler, H. A., Adler, G., Gierschick, P., Gress, T. M. Expression Profiling of the Influence of RAS Mutants on the TGFB1-Induced Phenotype of the Pancreatic Cancer Cell Line PANC-1. Genes, Chromosomes and Cancer 39, 224–235 (2004).

 

Buchholz, M., Kestler, H. A., Scarpa, A., Adler, G., Gress, T. M. Differentialdiagnose von Pankreas-Tumoren mit Hilfe eines spezialisierten cDNA-Arrays. Z Gastroenterol 42, P268 (2004).

 

Braun, M., Lüttges, J., Kestler, H. A., Heinitz, C., Buchholz, M., Heidenblut, A., Hasel, C., Schmiegel, W., Adler, G., Möller, P., Hahn, S., Klöppel, G., Gress, T. M. Expressionsanalysen zur Identifizierung von Markergenen in pankreatischen intraepithelialen Neoplasien und im duktalen Pankreaskarzinom. Z Gastroenterol 42, V041 (2004).

 

Wöhrle, J., Nusser, T., Hoffmeister, A., Kestler, H. A., Grebe, O. C., Höher, M., Koenig, W., Hombach, V., Kochs, M. Einfluss von Molsidomin auf rheologische Parameter und das Auftreten kardiovaskulärer Ereignisse bei Patienten mit koronarer Herzkrankheit. Deutsche Medizinische Wochenschrift 128, 1333–1337 (2003).

 

Schwenker, F., Dietrich, C., Kestler, H. A., Riede, K., Palm, G. Radial Basis Function Neural Networks and Temporal Fusion for the Classification of Bioacoustic Time Series. Neurocomputing 51, 265–275 (2003).

 

Mattfeldt, T., Gottfried, H.-W., Wolter, H., Schmidt, V., Kestler, H. A., Mayer, J. Classification of Prostatic Carcinoma with Artificial Neural Networks Using Comparative Genomic Hybridization and Quantitative Stereological Data. Pathology Res Pract 199, 773–784 (2003).

 

Hug, H. & Schuler, R. Measurement of the Number of Molecules of a Single mRNA Species in a Complex mRNA Preparation. Journal of Theoretical Biology 221, 615–624 (2003).

 

Grebe, O., Paetsch, I., Kestler, H. A., Herkommer, B., Schnackenburg, B., Hombach, V., Fleck, E., Nagel, E. Optimal acquisition parameters for contrast enhanced magnetic resonance imaging after chronic myocardial infarction. J Cardiovasc Magn Reson 5, 575–587 (2003).

 

Buchholz, M., Böck, Kestler, H. A., Adler, G., Gress, T. M. Ein spezialisierter DNA Array zur Differentialdiagnose gastrointestinaler Tumore. Z Gastroenterol 41:733-880, P265 (2003).

 

Wöhrle, J., Nusser, T., Kestler, H. A., Höher, M., Hombach, V., Kochs, M. Einfluss des NO Donors Molsidomin auf die Häufigkeit gastrointestinaler Beschwerden bei Patienten mit chronischer ASS Therapie. Med Klinik 97, 95 (2002).

 

Mattfeldt, T., Wolter, H., Trijic, D., Gottfried, H.-W., Kestler, H. A. Chromosomal regions in prostatic carcinomas studied by comparative genomic hybridization, hierarchical cluster analysis and self-organizing feature maps. Analytical Cellular Pathology 24, 167–179 (2002).

 

Kestler, H. A. Analysis of High-Resolution Electrocardiograms – Feature Extraction and Pattern Recognition. (2002).

 

Aida, S., Schuler, R., Tsukiji, T., Watanabe, O. The Difference between Polynomial-Time Many-One and Truth-Table Reducibilities on Distributional Problems. Theory of Computing Systems 35, 449–463 (2002).

 

Schwenker, F., Kestler, H. A., Palm, G. Three learning phases for radial–basis–function networks. Neural Networks 14, 439–458 (2001).

 

Mattfeldt, T., Wolter, H., Kemmerling, R., Gottfried, H.-W., Kestler, H. A. Cluster analysis of comparative genomic hybridization (CGH) data using self-organizing maps: Application to prostate carcinomas. Analytical Cellular Pathology 23, 29–37 (2001).

 

Mattfeldt, T., Kestler, H. A., Hautmann, R., Gottfried, H.-W. Prediction of Postoperative Prostatic Cancer Stage on the Basis of Systematic Biopsies using Two Types of Artificial Neural Networks. European Urology 39, 530–537 (2001).

 

Kestler, H. A. ROC with confidence – a Perl program for receiver operator characteristic curves. Computer Methods and Programs in Biomedicine 64, 133–136 (2001).

 

Hug, H., Schuler, R. Strategies for the development of a peptide computer. Bioinformatics 17, 364–368 (2001).

 

Mattfeldt, T., Gottfried, H.-W., Schmidt, V., Kestler, H. A. Classification of spatial textures in benign and cancerous glandular tissues by stereology and stochastic geometry using artificial neural networks. Journal of Microscopy 198, 143–158 (2000).

 

Lindner, W., Schuler, R., Watanabe, O. Resource-Bounded Measure and Learnability. Theory of Computing Systems 33, 151–170 (2000).

 

Kestler, H. A., Wöhrle, J., Höher, M. Cardiac vulnerability assessment from electrical microvariability of the high-resolution electrocardiogram. Medical & Biological Engineering & Computing 38, 88–92 (2000).

 

Kestler, H. A., Sablatnög, S., Simon, S., Enderle, S., Baune, A., Kraetzschmer, G. K., Schwenker, F., Palm, G. Concurrent Object Indentification and Localization for a Mobile Robot. Künstliche Intelligenz 23–29 (2000).

 

Haschka, M., Kestler, H. A. Warum sind Pfützen elliptisch sind. Der mathematische und naturwissenschaftliche Unterricht 53, 209–212 (2000).

 

Mattfeldt, T., Kestler, H. A., Hautmann, R., Gottfried, H.-W. Prediction of prostatic cancer progrssion after radical prostatectomy using artificial neural networks: a feasibility study. BJU International 84, 316–323 (1999).

 

Kestler, H. A., Wöhrle, J., Höher, M. ST–T variation assessment with a multilayer perceptron network. Eur Heart J 569 (1999).

 

Kestler, H. A., Schulé, M., Schwenker, F., Neumann, H., Mattfeldt, T. Classificatin of the cytological smears of the cervix with neuronal methods. Biomed. Technik 44, 17–24 (1999).

  

Kestler, H. A., Haschka, M. A Model for the Emergence of Café–au–Lait Macules. The Journal of Investigative Dermatology 113, 858–859 (1999).

 

Haschka, M., Kestler, H. A. Squinting and stereoscopic vision. Phys. Educ. 34, 316–320 (1999).

 

Kestler, H. A., Janko, S., Häussler, U., Muche, R., Höher, M., Hombach, V., Wiecha, J. A remark on the high- conductance calcium activated potassium channel in human endothelial cells. Res Exp Med 198, 133–143 (1998).

 

Gottfried, H.-W., Kestler, H. A., Mattfeldt, T., Hautmann, R. E. Analyse histo-morphologischer Parameter beim lokalbegrenztem Prostatacarcinom mit Hilfe eines neuronalen Netzwerkes. Bayerische Urologenvereinigung (1998).

 

Schuler, R., Yamakami, T. Structural Average Case Complexity. Journal of Computer and System Sciences 52, 308–327 (1996).

 

Arvind, V., Köbler, J., Schöning, U., Schuler, R. If NP has polynomial-size circuits, then MA = AM. Theoretical Computer Science 137, 279–282 (1995).

 

Arvind, V., Köbler, J., Schuler, R. On Helping and Interactive Proof Systems. International Journal of Foundations of Computer Science 6, 137–153 (1995).

 

Kestler, H. A., Farschtschi, A. A., Wein, P. H. Untersuchung und Simulation Neuronaler Netze mit dynamischer Strukturänderung. Automatisierungstechnische Praxis 36, 47–51 (1994).
 
Huppenbauer, H., Höher, M., Kestler, H. A., Hombach, V. UlmCard - An integrated database system for structured examination findings. in Integrating Cardiology Information Systems Part B:1 (European Society of Cardiology, Working Group Computers in Cardiology, 1994).

  

Mundhenk, M., Schuler, R. Random languages for nonuniform complexity classes. Journal of Complexity 7, 296–310 (1991).

   

Kestler, H. A. Untersuchung und Simulation von selbstoptimierenden Neuronalen Netzen. (1991).
 
 

 

Review articles


Schirra, L.-R., Schmid, F., Kestler, H.A., Lausser, L. Interpretable classifiers in precision medicine: feature selection and multi-class categorization. In  Artificial Neural Networks in Pattern Recognition (ANNPR-16)(eds. Schwenker, F., Hazem, A., El Gayar, N., Trentin, E.) pp. 105 - 116. Springer 2016.

 

Naldi, A., Monteiro, P. T., Müssel, C., the Consortium for Logical Models and Tools, Kestler, H. A., Thieffry, D., Xenarios, I., Saez-Rodriguez, J., Helikar, T., Chaouiya, C. Cooperative development of logical modelling standards and tools with CoLoMoTo. Bioinformatics 31, 1154–1159 (2015).


Liebau, S., Mahaddalkar, P. U., Kestler, H. A., Illing, A., Seufferlein, T., Kleger, A. A Hierarchy in Reprogramming Capacity in Different Tissue Microenvironments: What We Know and What We Need to Know. Stem Cells and Development 22, 695–706 (2013).


Fuellen, G., Dengjel, J., Hoeflich, A., Hoeijemakers, J., Kestler, H. A., Kowald, A., Priebe, S., Rebholz-Schuhmann, D., Schmeck, B., Schmitz, U., Stolzing, A., Sühnel, J., Wuttke, D., Vera, J. Systems Biology and Bioinformatics in Aging Research: A Workshop Report. Rejuvenation Research 15, 631–641 (2012).


Giehl, K., Bachem, M., Beil, M., Böhm, B. O., Ellenrieder, V., Fulda, S., Gress, T. M., Holzmann, K., Kestler, H. A., Kornmann, M., Menke, A., Möller, P., Oswald, F., Schmid, R. M., Schmidt, V., Schirmbeck, R., Seufferlein, T., Wichert, G. von, Wagner, M., Walther, P., Wirth, T., Adler, G. Inflammation, Regeneration and Transformation in the Pancreas - Results of the Collaborative Research Center 518 (SFB 518) at the Ulm University. Pancreas 40, 489–502 (2011).


Floßbach, L., Kestler, H. A., Gress, T. M., Möller, P., Barth, T. F. E. Aktuelle Aspekte zur Pathogenese von extranodalen Marginalzonen B-Zell Lymphomen vom MALT-Typ und gastrointestinalen diffusen großzelligen B-Zell Lymphomen. Z Gastroenterol 48, 833–8 (2010).


Kestler, H. A., Wawra, C., Kracher, B., Kühl, M. Network modelling of signal transduction: establishing the global view. BioEssays 30, 1110–1125 (2008).

 

Kestler, H. A., Kühl, M. From individual Wnt pathways towards a Wnt signalling network. Philos Trans R Soc Lond B Biol Sci 363, 1333–134 (2008).

 

Buchholz, M., Kestler, H. A. , Gress, T. M. Differential diagnosis of pancreatic tumors by molecular analysis of clinical specimens. Pancreatology 8, 551–557 (2008).

 

Wöhrle, J., Nusser, T., Habig, T., Mottaghy, F., Kochs, M., Kestler, H. A., Reske, S. N., Hombach, V. , Krause, B. J. Comparison of the slow-release paclitaxel-eluting Taxus-Express stent with intracoronary β-brachytherapy using a Rhenium-188 filled balloon catheter in patients with in-stent restenoses. J Am Coll Cardiol 98 Suppl. 8A, TCT-444 (2006).

 

Müller, A., Neitmann, A., Merkle, N., Woehrle, J., Hombach, V. , Kestler, H. A. Contour Detection of Short Axis Slice MR Images for Contraction Irregularity Assessment. IEEE Computers in Cardiology 32, 21–24 (2005).

 

Kestler, H. A. , Küfer, R. Wertigkeit und Notwendigkeit bioinformatischer Methoden zur Mikroarray-Datenanalyse. Urologe A 43, 669–674 (2004).

 

Schwaenen, C., Wessendorf, S., Kestler, H. A., Döhner, H., Lichter, P. , Bentz, M. DNA microarray analysis in malignant lymphomas. Ann Hematol 83, 323–332 (2003).

 

El-Messiry, H., Kestler, H. A., Grebe, O. , Neumann, H. Morphological Scal-Space Decomposition for Segmenting the Venricular Structure in Cardiac MR Images. In Bildverarbeitung für die Medizin 2003 (eds. Wittenberg, T., Hastreiter, P., Hoppe, U., Handels, H., Horsch, A. , Meinzer, H.-P.) 181–185 (Springer Verlag, 2003). 

 

Kestler, H. A., Müller, A., Hombach, V., Wöhrle, J., Palm, G., Höher, M., Schwenker, F. Decision fusion of micro-variability and signal-averaged ECG parameters from the QRS complex with RBF networks. IEEE Computers in Cardiology 29, 297–300 (2002).

 

Kestler, H. A., Schwenker, F., Wöhrle, J., Hombach, V., Palm, G. , Höher, M. Combined Assessment of Beat-to-Beat Micro-Variability and Signal-Averaged ECG Parameters. IEEE Computers in Cardiology 28, 73–76 (2001).

 

Grebe, O., Giesler, M., Kestler, H. A., Hombach, V. , Höher, M. Magnetic Resonance Imaging After Percutaneous Closure of a Patent Foramen Ovale. Circulation104, e117–e118 (2001).

 

Schwenker, F. , Kestler, H. A. Decision Trees for the Analysis and Classification of Signal Averaged High-Resolution ECGs. Biomed. Technik 45, 191–194 (2000).

 

Kestler, H. A., Hombach, V., Osterhues, H.-H., Kochs, M. , Höher, M. Non-invasive Risk Stratification in Patients after Myocardial Infarction – A Brief Review. Biocybernetics and Biomedical Engineering 20, 67–79 (2000).

 

Höher, M., Brummer, T. , Kestler, H. A. Concept and Initial Experience with a Mid-term DICOM Archiving System Acting as an Intelligent Buffer to Clinical Requests. IEEE Computers in Cardiology 26, 319–322 (1999).

 

Kestler, H. A., Schwenker, F. , Höher, M. Combining Supervised Competitive Learning and Gradient Descent Learning to Classify Signal-Averaged High-Resolution Electrograms. In IEEE Computers in Cardiology (eds. Murray, A. , Arzbaecher, R.) 381–384 (IEEE Computer Society, 1995). 

 

Höher, M., Kestler, H. A., Bauer, S., Weismüller, P., Palm, G. , Hombach, V. Neural Network Based Analysis of the Signal Averaged Electrocardiogram. In IEEE Computers in Cardiology (eds. Murray, A. , Arzbaecher, R.) 257–260 (IEEE Computer Society, 1995).

  


 

Refereed conference proceedings

 

Müssel, C., Lausser, L., Kestler, H.A. Ensembles of Representative Prototype Sets for Classification and Data Set Analysis. In Data Science, Learning by Latent Structures, and Knowledge Discovery (eds. Lausen, B., Krolak-Schwerdt, S., Böhmer, M.), pp 329–339. Springer, 2015.


Lattke, R., Lausser, L., Müssel, C., Kestler, H. A. Detecting Ordinal Class Structures. In Multiple Classifier Systems (eds. Schwenker, F., Roli, F. & Kittler, J.) 9132, 100–111 (Springer International Publishing, 2015).


Völkel, G., Maucher, M., Schöning, U. , Kestler, H. A. Group-Based Ant Colony Optimization. In Proceedings of the fifteenth international conference on Genetic and evolutionary computation conference 57–64 (ACM, 2014). 


Völkel, G., Maucher, M., Schöning, U. , Kestler, H. A. Ant Colony Optimization with Group Learning. In Proceedings of the sixteenth international conference on Genetic and evolutionary computation conference 57–64 (ACM, 2014). 

 

Schmid, F., Lausser, L. , Kestler, H. A. Linear Contrast Classifiers in High-Dimensional Spaces. In Artificial Neural Networks in Pattern Recognition, vol LNAI 8774 (eds. Gayar, N. E., Schwenker, F. , Suen, C.) 141 – 152 (2014).

 

Lausser, L. Robuste Klassifikationsverfahren für hochdimensionale Datensätze. In  Ausgezeichnete Informatikdissertationen 2013 (eds. Hölldobler, S. et al.), pp 111–121. Köllen Druck+Verlag GmbH, Bonn 2014.

 

Lausser, L., Schmid, F. & Kestler, H. A. Multi-classifier systems incorporating meta information for the analysis of gene expression profiles. In Proceedings of the GPSDAA 2013 Symposium in Dresden (KIT Scientific Publishing, 2014).  

 

Schmid, F., Lausser, L., Kestler, H.A. Linear Contrast Classifiers in High-Dimensional Spaces. In Artificial Neural Networks in Pattern Recognition (ANNPR-14) (eds. El Gayar, N., Schwenker, F., Suen, C.), LNAI 8774, pp 141–152. Springer, 2014.

 

Müssel, C., Kraus, J. M., Priebe, S., Fürstberger, A., Thalheim, T., Hühne, R., Sühnel, J. , Kestler, H. A. An extended data management and analysis system for ageing research. 5th Conference on Systems Biology of Mammalian Cells, Berlin (2014).

 

Schmid, F., Lausser, L., Kestler, H.A. Three Transductive Set Covering Machines. In Spiliopoulou M, Schmidt- Thieme L, Janning R, editors, Data Analysis, Machine Learning and Knowledge Discovery Studies in Classification, Data Analysis, and Knowledge Organization, pp 303 – 311. Springer, 2014.


Lausser, L. , Kestler, H. A. Fold change classifiers for the analysis for the analysis of gene expression profiles. In Proceedings of the German/Japanese Workshops in 2010 (Karlsruhe) and 2012 (Kyoto) (eds. Gaul, W., Geyer-Schulz, A., Baba, Y. , Okada, A.) 193–202 (2014).


Burkovski, A., Lausser, L., Kraus, J. M. , Kestler, H. A. Rank Aggregation for Candidate Gene Identification. In Data Analysis, Machine Learning and Knowledge Discovery Studies in Classification, Data Analysis, and Knowledge Organization (eds. Spiliopoulou, M., Schmidt-Thieme, L. , Janning, R.) 285–293 (Springer, 2014).

 

Völkel, G., Maucher, M. , Kestler, H. A. Group-Based Ant Colony Optimization. In Proceedings of the fifteenth international conference on Genetic and evolutionary computation conference 121–128 (ACM, 2013).

 

Völkel, G., Kraus, J. M. , Kestler, H. A. Algorithm Engineering with Clojure. In ELS ’12: Proceedings of the 5th European Lisp Symposium 34–41 (2012).

 

Schnattinger, T., Schöning, U., Kestler, H. A. Pareto-optimal RNA sequence-structure alignments. in 9th International Workshop on Computational Systems Biology (WSCB), 83–86 (2012).

 

Lausser, L., Müssel, C., Maucher, M., Kestler, H. A. Feature Reduction and Nearest Neighbours. In Challenges at the Interface of Data Analysis, Computer Science, and Optimization (eds. Gaul, W., Geyer-Schulz, A., Schmidt-Thieme, L. , Kunze, J.), 363–370 (Springer, 2012).

 


Hopfensitz, M., Maucher, M. , Kestler, H. A. Fuzzy Boolean network reconstruction. In Challenges at the Interface of Data Analysis, Computer Science, and Optimization (eds. Gaul, W., Geyer-Schulz, A., Schmidt-Thieme, L., Kunze, J.) 263–270 (Springer, 2012).

 

Lausser, L., Müssel, C., Kestler, H.A. Representative Prototype Sets for Data Characterization and Classification. In Artificial Neural Networks in Pattern Recognition (ANNPR12) (eds. Mana N., Schwenker F., Trentin E.), LNAI 7477, pp 36–47. Springer, 2012.

 

Lausser, L., Schmid, F., Kestler, H.A. On the utility of partially labeled data for classification of microarray data. In Partially Supervised Learning (PSL)(eds. Schwenker F., Trentin E.), LNCS 7081, pp 96–109. Springer, 2012.

 

Lausser, L., Kestler, H.A. Robustness analysis of eleven linear classifiers in extremely high– dimensional feature spaces. In Artificial Neural Networks in Pattern Recognition (ANNPR-10) (eds. Schwenker, F., El Gayar, N.), LNAI 5998, pp 72–83. Springer, 2010. 

 

Kraus, J. M. , Kestler, H. A. Multi-core parallelization using transactional memory: A K-means case study. In Statistical Computing 2009 (eds. Kestler, H. A., Lausen, B., Binder, H., Klenk, H.-P., Leisch, F. , Schmid, M.) 12 (Ulm University, 2009).

 

Kraus, J. M. , Kestler, H. A. Multi-core parallelization in Clojure: a case study. In Proceedings of the 6th European Lisp Workshop 8–17 (ACM, 2009). 

 

Lausser, L., Schwenker, F., Palm, G. Detecting zebra crossings utilizing adaboost. In Verleysen M, editor, Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN), pages 535–540, Evere, Belgium, 2008. d-side publications 

 

Lausser, L., Buchholz, M., Kestler, H.A. Boosting threshold classifiers for high–dimensional data in functional genomics. In Prevost L, Marinai S, and Schwenker F, editors, Artificial Neural Networks in Pattern Recognition (ANNPR08), LNAI 5064, pp 147–156. Springer, 2008. 

 

Kestler, H. A., Kraus, J. M., Höher, M., Hombach, V. , Wöhrle, J. Prognostic Significance of Electrocardiogram and Cine Magnetic Resonance Imaging Parameters in Patients with Idopathic Dilated Cardiomyopathy. IEEE Computers in Cardiology 34, 77–80 (2007).

 

Müller, A., Neitmann, A., Kunze, M., Merkle, N., Höher, M., Hombach, V., Wöhrle, J., Neumann, H. , Kestler, H. A. Integrating Model Based and Data Driven Approaches for the Automatic Segmentation of Cardiac Short-Axis Cine MRI Recordings. IEEE Computers in Cardiology 33, 73–76 (2006).

 

Guttmann, W. , Maucher, M. Variations on an Ordering Theme with Constraints. In 4th IFIP International Conference on Theoretical Computer Science: TCS 2006 (eds. Navarro, G. , Kohayakawa, L. B. und Y.) 77–90 (Springer, 2006).

 

List, B., Maucher, M., Schöning, U. , Schuler, R. Randomized QuickSort and the Entropy of the Random Source. In Computing and Combinatorics, 11th Annual International Conference (ed. Wang, L.) 450–460 (Springer, 2005).

 

Müller, A., Merkle, N., Hombach, V., Grebe, O., Nusser, T., Woehrle, J., Binner, L. , Kestler, H. A. Extracting Robust Features from Cardiac Magnetic Resonance Image Contours for Detecting Dilated Cardiomyopathy. IEEE Computers in Cardiology 31, 157–160 (2004).

 

Kestler, H. A. , Höher, M. Prognostic Value of Intra-QRS and ST-T Micro-Variability – A 2 Year Follow-up. IEEE Computers in Cardiology 30, 89–92 (2003).

 

Kestler, H. A., Buchholz, M., Böck, W., Schwenker, F., Müller, A., Palm, G. , Gress, T. M. Feature reduction and classification of pancreatic cancer vs healthy pancreas based on gene expression data. In Currents in Computational Molecular Biology 2003 (eds. Spang, R., Beéiat, P. , Vingron, M.) 251–252 (2003).

 

Grebe, O., Müller, A., Merkle, N., Wöhrle, J., Binner, L., Hombach, V., Neumann, H. , Kestler, H. A. Estimation of Intra- and Inter-ventricular Dyssynchronization with Cardiac Magnetic Resonance Imaging. IEEE Computers in Cardiology 30, 741–743 (2003).

 

El-Messiry, H., Kestler, H. A., Grebe, O. , Neumann, H. Segmenting the Endocardial Border of the Left Ventricle in Cardiac Magnetic Resonance Images. IEEE Computers in Cardiology 30, 625–628 (2003).

 

Simon, S., Schwenker, F., Kestler, H. A., Kraetzschmar, G. , Palm, G. Hierarchical Object Classification for Autonomous Mobile Robots. In Artificial Neural Networks – ICANN 2002 (ed. Dorronsoro, J. R.) 831–836 (Springer Verlag, 2002).

 

Schwenker, F. , Kestler, H. A. Analysis of support vectors helps to identify borderline patients in classification studies. IEEE Computers in Cardiology 29, 305–308 (2002).

 

Grebe, O., Lehn, M., Neumann, H., Schwenker, F., Wöhrle, J., Höher, M., Hombach, V. , Kestler, H. A. Parameters for characterizing diastolic function with cardiac magnetic resonance imaging. IEEE Computers in Cardiology 29, 185–188 (2002).

 

Wichert, A., Kestler, H. A., Walter, H., Grön, G., Baune, A., Grothe, J., Wunderlich, A. , Sommer, F. T. Explorative detection of delay activity during a working memory task. In Neural Networks and Expert Systems in Medicine and Healthcare (ed. Papadourakis, G. M.) 266–271 (Technological Educational Institute of Crete, 2001).

 

Schwenker, F., Kestler, H. A., Simon, S. , Palm, G. 3D Object Recognition for Autonomous Mobile Robots Utilizing Support Vector Classifiers. In Proceedings of the 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2001 344–349 (IEEE, 2001). 

 

Grebe, O., Höher, M., Schwenker, F., Neumann, H., Wöhrle, J., Palm, G., Hombach, V. , Kestler, H. A. New Markers for Diastolic Function by Cardiac Magnetic Resonance Imaging. IEEE Computers in Cardiology 28, 625–628 (2001).

 

Simon, S., Vogt, F., Kestler, H. A., Schwenker, F. , Palm, G. Aufmerksamkeitssteuerung für die Objektklassifikation auf einem autonomen mobilen Roboter. In Dynamische Perzeption (eds. Baratoff, G. , Neumann, H.) 195–198 (Akademische Verlagsgesellschaft, 2000).

 

Kestler, H. A. , Palm, G. A simple evolutionary wavelet classifier for the categorization of beat-to-beat variability signals. Biomed. Technik 45, 30–35 (2000).

 

Kestler, H. A., Haschka, M., Müller, A., Schwenker, F., Palm, G. , Höher, M. Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals. IEEE Computers in Cardiology 27, 715–718 (2000).

 

Höher, M., Wöhrle, J., Scharf, B., Thamasett, S., Stiller, S., Bauer, S. , Kestler, H. A. Heart-Rate Dependency of QRS-Microvariability During Atrial Pacing. IEEE Computers in Cardiology 27, 727–730 (2000).

 

Simon, S., Kestler, H. A., Baune, A., Schwenker, F. , Palm, G. Object classification with simple visual attention and a hierarchical neural network for subsymbolic–symbolic coupling. In Proceedings of the 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA’99 244–249 (IEEE, 1999). 

 

Kestler, H. A., Schwenker, F., Hafner, G., Hombach, V., Palm, G. , Höher, M. Feasibility Study of Complete Neural Net Based Classification of Signal–Averaged High–Resolution ECGs. IEEE Computers in Cardiology 26, 575–578 (1999).

 

Wichert, A. , Kestler, H. A. A categorical based reanimation expert system. In Neural Networks and Expert Systems in Medicine and Healthcare (eds. Ifeachor, E. C., Sperduti, A. , Starita, A.) 187–193 (World Scientific, 1998).

 

Kestler, H. A., Haschka, M., Kratz, W., Schwenker, F., Palm, G., Hombach, V. , Höher, M. De-noising of High- resolution ECG Signals by Combining the Discrete Wavelet Transform with the Wiener Filter. In IEEE Computers in Cardiology (eds. Murray, A. , Swiryn, S.) 233–236 (IEEE Computer Society, 1998). 

 

Schuler, R. A note on universal distributions for polynomial-time computable distributions. in Computational Complexity, 1997. Proceedings., Twelfth Annual IEEE Conference on (Formerly: Structure in Complexity Theory Conference) 69–73 (1997). 

 

Kestler, H. A., Strey, H., Dickhaus, H., Palm, G., Hombach, V. , Höher, M. Diskrete Waveletanalyse des signalgemittelten, hochauflösenden Elektrokardiogramms. In Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97 (eds. Muche, R., Büchele, G., Harder, D. , Gaus, W.) 96–101 (MMV Medizin Verlag, 1997).

 

Kestler, H. A., Strey, H., Dickhaus, H., Palm, G., Hombach, V. , Höher, M. Discrete Wavelet Analysis of the Signal-Averaged High-Resolution Electrocardiogram. In IEEE Computers in Cardiology (eds. Murray, A. , Swiryn, S.) 621–624 (1997).

 

Höher, M., Ritscher, D. E., Bauer, S., Kodler, M., Kestler, H. A. , Hombach, V. Beat-to-Beat Variability of QRS Duration: Initial Results from a Large ECG Database with Prospective Follow-up. In IEEE Computers in Cardiology (eds. Murray, A. , Swiryn, S.) 613–616 (1997).

 

Schwenker, F., Kestler, H. A. , Palm, G. Visualization and Analysis of Signal Averaged High Resolution Electrocardiograms Employing Cluster Analysis and Multidimensional Scaling. In IEEE Computers in Cardiology (eds. Murray, A. , Arzbaecher, R.) 453–456 (1996). 

 

Schuler, R. Truth-table closure and Turing closure of average polynomial time have different measures in EXP. In Computational Complexity, 1996. Proceedings., Eleventh Annual IEEE Conference on 190–195 (1996). 

 

Kestler, H. A., Höher, M., Schwenker, F. , Hombach, V. Filtering Beat-to-Beat Recordings of the High Resolution Electrocardiogram. In IEEE Computers in Cardiology (eds. Murray, A. , Arzbaecher, R.) 461–464 (IEEE Computer Society, 1996). 

 

Kestler, H. A., Höher, M., Palm, G., Kochs, M. , Hombach, V. Time Domain Variability of High Resolution Beat-to-Beat Recordings Classified by Neural Networks. In IEEE Computers in Cardiology (eds. Murray, A. , Arzbaecher, R.) 317–320 (IEEE Computer Society, 1996). 

 

Schwenker, F., Kestler, H. A., Höher, M. , Palm, G. Klassifikation hochverstärkter EKG Signale durch RBF Netzwerke. In Mustererkennung 1995 (eds. Sagerer, G., Posch, S. , Kummert, F.) 387–394 (Springer Verlag, 1995).

 

Schuler, R. , Watanabe, O. Towards average-case complexity analysis of NP optimization problems. In Structure in Complexity Theory Conference, 1995., Proceedings of Tenth Annual IEEE 148–159 (1995). 

 

Kestler, H. A., Schwenker, F., Hoeher, M. , Palm, G. Adaptive Class-Specific Partitioning as a Means of Initializing RBF-Networks. In Proceedings of the International Conference on Systems, Man, and Cybernetics 46–49 (IEEE, 1995). 

 

Schwenker, F., Kestler, H. A. , Palm, G. A Comparison of LVQ and RBF Networks for Classification and Data Clustering. In Proceedings of the 6th Microcomputer School 646–651 (1994).

 

Schwenker, F., Kestler, H. A., Palm, G. , Höher, M. Similarities of LVQ and RBF Learning - A survey of learning rules and the application to the the classification of signals from high-resolution electrocardiography. In Proceedings of the International Conference on Systems, Man, and Cybernetics 646–651 (IEEE, 1994). 

 


 

Book chapters


Völkel, G., Maucher, M., Müssel, C., Schöning, U., Kestler, H. A. Information Theoretic Measures for Ant Colony Optimization. In Analysis of Large and Complex Data (eds. Wilhelm, A. F. X. , Kestler, H. A.) 519–530 (Springer International Publishing, 2016).

 

Schirra, L. R., Schmid, F., Kestler, H. A., Lausser, L. Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. In Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings (eds. Schwenker, F., Abbas, H. M., El Gayar, N. , Trentin, E.) 105–116 (Springer International Publishing, 2016). 

 

Schirra, L. R., Lausser, L., Kestler, H. A. Selection Stability as a Means of Biomarker Discovery in Classification. In Analysis of Large and Complex Data (eds. Wilhelm, A. F. X. , Kestler, H. A.) 79–89 (Springer International Publishing, 2016). 

 

Lattke, R., Lausser, L., Müssel, C., Kestler, H. A. Detecting Ordinal Class Structures. In Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings (eds. Schwenker, F., Roli, F. , Kittler, J.) 100–111 (Springer International Publishing, 2015). 

 

Dünkler, A., Rösler, R., Kestler, H. A., Moreno-Andrés, D., Johnsson, N. SPLIFF: A Single-Cell Method to Map Protein-Protein Interactions in Time and Space. In Single Cell Protein Analysis (eds. Singh, A. K. & Chandrasekaran, A.) 151–168 (Springer New York, 2015).


Burkovski, A., Lausser, L., Kraus, J. M., Kestler, H. A. Rank Aggregation for Candidate Gene Identification. In Data Analysis, Machine Learning and Knowledge Discovery (eds. Spiliopoulou, M., Schmidt-Thieme, L. , Janning, R.) 285–293 (Springer International Publishing, 2014).

 

Kühl, M., Kracher, B., Groß, A., Kestler, H. A. Mathematical Models of Wnt Signaling Pathways .In Wnt Signaling in Development and Disease (eds. Hoppler, S. & Moon, R. T.) 153–160 (Wiley Verlag, 2014).

 

Lausser, L., Schmid, F., Kestler, H. A. On the Utility of Partially Labeled Data for Classification of Microarray Data. In Partially Supervised Learning (eds. Schwenker, F. , Trentin, E.) LNCS 7081, 96–109 (Springer, 2012).

 

Lausser, L., Müssel, C., Kestler, H. A. Representative Prototype Sets for Data Characterization and Classification. In Artificial Neural Networks in Pattern Recognition (ANNPR12) (eds. Mana, N., Schwenker, F. , Trentin, E.) LNAI 7477, 36–47 (Springer-Verlag, 2012).

 

Lausser, L., Kestler, H. A. Robustness analysis of eleven linear classifiers in extremely high–dimensional feature spaces. In Artificial Neural Networks in Pattern Recognition (ANNPR-10) (eds. Schwenker, F. , Gayar, N. E.) LNAI 5998, 72–83 (Springer-Verlag, 2010).

 

Wawra, C., Kühl, M., Kestler, H. A. Boolean networks for modelling gene regulation. In Mathematical Analysis of Evolution, Information, and Complexity (eds. Arendt, W. , Schleich, W. P.) 157–180 (Wiley-VCH, 2009).

 

List, B., Maucher, M., Schöning, U., Schuler, R. QuickSort from an information-theoretic view. In Mathematical analysis of evolution, information, and complexity (eds. Arendt, W. , Schleich, W.) 455–464 (Wiley-VCH, Weinheim, 2009).

 

Lausser, L., Schwenker, F., Kestler, H. A. Boosting ensembles of weak classifiers. In high dimensional input spaces in Mathematical Analysis of Evolution, Information, and Complexity (eds. Arendt, W. , Schleich, W. P.) (Wiley-VCH, 2009).

 

Kraus, J. M., Palm, G., Schwenker, F., Kestler, H. A. Semi-supervised clustering in functional genomics. In Mathematical Analysis of Evolution, Information, and Complexity (eds. Arendt, W. , Schleich, W. P.) 243–271 (Wiley-VCH, 2009).

 

Balser, W., Röscheisen, C., Steiner, F., Sträng, J. E. Solutions of systems of linear ordinary differential equations. In Mathematical Analysis of Evolution, Information, and Complexity (eds. Arendt, W. , Schleich, W. P.) (Wiley-Verlag, 2009).

 

Lausser, L., Buchholz, M., Kestler, H. A. Boosting Threshold Classifiers for High–Dimensional Data in Functional Genomics. In Artificial Neural Networks in Pattern Recognition (ANNPR08) (eds. Prevost, L., Marinai, S. , Schwenker, F.) LNAI 5064, 147–156 (Springer-Verlag, 2008).

 

Schwenker, F., Sachs, A., Palm, G., Kestler, H. A. Orientation Histograms for Face Recognition. In Artificial Neural Networks in Pattern Recognition (ANNPR 06) (eds. Schwenker, F. , Marinai, S.) LNAI 4087, 253–259 (Springer-Verlag, 2006).

 

Kestler, H. A., Müssel, C. An empirical comparison of feature reduction methods in the context of microarray data classification. In Artificial Neural Networks in Pattern Recognition (ANNPR 06) (eds. Schwenker, F. , Marinai, S.) LNAI 4087, 260–273 (Springer-Verlag, 2006).

 

Kestler, H. A., Müller, A., Buchholz, M., Gress, T. M., Palm, G. A perceptually optimized scheme for vsiualizing gene expression ratios with confidence values. In Perception and Interactive Technologies (PIT 06) (eds. André, E., Dybkjær, L., Minker, W., Neumann, H. , Weber, M.) LNAI 4021, 73–84 (Springer-Verlag, 2006).

 

Kestler, H. A., Lindner, W., Müller, A. Learning and feature selection using the set covering machine with data-dependent rays on gene expression profiles. In Artificial Neural Networks in Pattern Recognition (ANNPR 06) (eds. Schwenker, F. , Marinai, S.) LNAI 4087, 286–297 (Springer-Verlag, 2006).

 

Kestler, H. A., Kraus, J. M., Palm, G., Schwenker, F. On the effects of constraints in semi-supervised hierarchical clustering. In Artificial Neural Networks in Pattern Recognition (ANNPR 06) (eds. Schwenker, F. , Marinai, S.) LNAI 4087, 57–66 (Springer-Verlag, 2006).

 

List, B., Maucher, M., Schöning, U., Schuler, R. Randomized Quicksort and the Entropy of the Random Source. In Computing and Combinatorics: 11th Annual International Conference, COCOON 2005 Kunming, China, August 16–19, 2005 Proceedings (ed. Wang, L.) 450–460 (Springer Berlin Heidelberg, 2005). at 

 

Kestler, H. A., Schuler, R., Müller, A., Buchholz, M., Schwenker, F., Palm, G., Gress, T. M. Bioinformatic methods for microarray data analysis pancreatic cancer. In Exocrine pancreas cancer (eds. Gress, T. M., Neoptolemos, J., Lemoine, N. R. , Real, F. X.) 228–241 (Solvay Pharmaceuticals, 2005).

 

Kestler, H. A., Müller, A., Liu, H., Kane, D. W., Zeeberg, B. W., Weinstein, J. N. Euler diagrams for visualizing annotated gene expression data. In Euler Diagrams 2005 (eds. Verroust-Blondet, A. , Viaud, M.-L.) 1–4 (INRIA, INA, 2005).

 

Buchholz, M., Kestler, H. A., Bauer, A., Hoheisel, J. D., Gress, T. M. Development of diagnostic arrays for the differential diagnosis of a pancreatic mass. In Exocrine pancreas cancer (eds. Gress, T. M., Neoptolemos, J., Lemoine, N. R. , Real, F. X.) 394–401 (Solvay Pharmaceuticals, 2005).

 

Baumer, S., Schuler, R. Improving a Probabilistic 3-SAT Algorithm by Dynamic Search and Independent Clause Pairs. In Theory and Applications of Satisfiability Testing: 6th International Conference, SAT 2003, Santa Margherita Ligure, Italy, May 5-8, 2003, Selected Revised Papers (eds. Giunchiglia, E. , Tacchella, A.) 150–161 (Springer Berlin Heidelberg, 2004).

 

Hollas, B., Schuler, R. A Stochastic Approach to Count RNA Molecules Using DNA Sequencing Methods. In Algorithms in Bioinformatics: Third International Workshop, WABI 2003, Budapest, Hungary, September 15-20, 2003. Proceedings (eds. Benson, G. , Page, R. D. M.) 55–62 (Springer Berlin Heidelberg, 2003). 

 

El-Messiry, H., Kestler, H. A., Grebe, O., Neumann, H. Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. In Bildverarbeitung für die Medizin 2003 (eds. Wittenberg, T., Hastreiter, P., Hoppe, U., Handels, H., Horsch, A. & Meinzer, H.-P.) 181–185 (Springer Berlin Heidelberg, 2003).


Arvind, V., Schuler, R. The Quantum Query Complexity of 0-1 Knapsack and Associated Claw Problems. In Algorithms and Computation: 14th International Symposium, ISAAC 2003, Kyoto, Japan, December 15-17, 2003. Proceedings (eds. Ibaraki, T., Katoh, N. , Ono, H.) 168–177 (Springer Berlin Heidelberg, 2003).

 

Schwenker, F., Kestler, H. A., Palm, G.Unsupervised and supervised learning in radial-basis-function networks. In Self-Organizing Neural Networks (eds. Seiffert, U. , Jain, L. C.) 217–243 (Physica-Verlag, 2002).

 

Schwenker, F., Kestler, H. A., Palm, G. Algorithms for the visualization of large and multivariate data sets. In Self-Organizing Neural Networks (eds. Seiffert, U. , Jain, L. C.) 165–183 (Physica-Verlag, 2002).

 

Mattfeldt, T., Gottfried, H.-W., Burger, M., Kestler, H. A. Classification of Prostatic Cancer Using Artificial Neural Networks. In Fractals in Biology and Medicine, Volume III (eds. Losa, G. A., Merlini, D., Nonnenmacher, T. F. , Weibel, E. R.) 101–111 (Birkhäuser, 2002).

 

Hug, H., Schuler, R. DNA-based Parallel Computation of Simple Arithmetic. In DNA Computing: 7th International Workshop on DNA-Based Computers, DNA7 Tampa, FL, USA, June 10–13, 2001 Revised Papers (eds. Jonoska, N. , Seeman, N. C.) 321–328 (Springer Berlin Heidelberg, 2002).

 

Hofmeister, T., Schöning, U., Schuler, R., Watanabe, O. A Probabilistic 3—SAT Algorithm Further Improved. In STACS 2002: 19th Annual Symposium on Theoretical Aspects of Computer Science Antibes - Juan les Pins, France, March 14–16, 2002 Proceedings (eds. Alt, H. , Ferreira, A.) 192–202 (Springer Berlin Heidelberg, 2002). 

 

Kestler, H. A., Müller, A., Hombach, V., Wöhrle, J., Grebe, O., Palm, G., Moher, M., Schwenker, F. Decision fusion of micro-variability and signal averaged ECG parameters from the QRS complex with RBF networks. in 297–300 (IEEE Computers in Cardiology, 2002).


Schwenker, F., Kestler, H. A. 3D Visual Object Classification with Hierarchical Radial Basis Function Networks. In Radial Basis Function Networks 2 (eds. Howlett, R. J. , Jain, L. C.) 269–293 (Physica-Verlag, 2001).

 

Kestler, H. A., Schwenker, F. RBF Network Classification of ECGs as a Potential Marker for Sudden Cardiac Death. In Radial Basis Function Networks 2 (eds. Howlett, R. J. , Jain, L. C.) 167–214 (Physica-Verlag, 2001).

 

Kestler, H. A., Höher, M., Schwenker, F. Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals . In Artificial Neural Nets and Genetic Algorithms (eds. Kurkova, V., Steele, N. C., Neruda, R. , Karny, M.) 280–283 (Springer-Verlag, 2001).

 

Hombach, V., Osterhues, H.-H., Schleß, B., Kochs, M., Kestler, H. A., Höher, M. QT Dispersion: Definition, Methodology, and Clinical Relevance. In Myocardial Repolarization: From Gene to Bedside (eds. Oto, A. , Breithardt, G.) 187–209 (Futura Publishing Co., 2001).

 

Aida, S., Schuler, R., Tsukiji, T., Watanabe, O. On the Difference between Polynomial-Time Many-One and Truth-Table Reducibilities on Distributional Problems. In STACS 2001: 18th Annual Symposium on Theoretical Aspects of Computer Science Dresden, Germany, February 15–17, 2001 Proceedings (eds. Ferreira, A. , Reichel, H.) 51–62 (Springer Berlin Heidelberg, 2001).

 

Kestler, H. A., Schwenker, F., Wöhrle, J., Hombach, V., Palm, G., Hoher, M. Combined assessment of beat-to-beat micro-variability and signal-averaged ECG parameters. In IEEE Computers in Cardiology, 73–76 (2001).


Schwenker, F., Kestler, H. A., Palm, G. Radial–Basis–Function Networks: Learning and Applications. In Fourth International Conference on Knowledge–Based Intelligent Engineering Systems , Allied Technologies (eds. Howlett, R. J. , Jain, L. C.) 33–43 (IEEE, 2000).

 

Schwenker, F., Kestler, H. A., Palm, G. Combination of Supervised and Unsupervised Learning for Radial–Basis–Function Networks. In Second International ICSC Symposium on Neural Computation (NC’2000) (eds. Bothe, H. H. , Rojas, R.) 22–28 (ICSC Academic Press, 2000).

 

Schwenker, F., Kestler, H. A., Palm, G. An Algorithm for Adaptive Clustering and Visualization of Highdimensional Data Sets. In Computational Intelligence in Data Mining (eds. Riccia, G. D., Kruse, R. , Lenz, H. J.) 127–140 (Springer, 2000).

 

Kestler, H. A., Schwenker, F., Palm, G., Wöhrle, J., Höher, M. Neural Classification in High-Resolution ECG Signal Processing. In Advances in Noninvasive Electrocardiographic Monitoring Techniques (eds. Osterhues, H.-H., Hombach, V. , Moss, A. J.) 441–452 (Kluwer Academic Publishers, 2000).

 

Schwenker, F., Kestler, H. A. Decision Trees for the Analysis and Classification of Signal Averaged High-Resolution ECGs. Biomed. Technik 45 (Suppl.2), 191–194 (2000).


Höher, M., Bauer, S., Kestler, H. A. Detection of QRS-Variability. In Advances in Noninvasive Electrocardiographic Monitoring Techniques (eds. Osterhues, H.-H., Hombach, V. , Moss, A. J.) 109–119 (Kluwer Academic Publishers, 2000).

 

Schuler, R. Universal Distributions and Time-Bounded Kolmogorov Complexity . In STACS 99: 16th Annual Symposium on Theoretical Aspects of Computer Science Trier, Germany, March 4–6, 1999 Proceedings (eds. Meinel, C. , Tison, S.) 434–443 (Springer Berlin Heidelberg, 1999).

 

Kestler, H. A., Simon, S., Baune, A., Schwenker, F., Palm, G. Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro–Symbolic Integration. In KI–99 Advances in Artificial Intelligence (eds. Burgard, W., Christaller, T. , Cremers, A. B.) 267–279 (Springer Verlag, 1999).

 

Höher, M., Brummer, T., Kestler, H. A. Concept and initial experience with a mid-term DICOM archiving system acting as an intelligent buffer to clinical requests. In IEEE Computers in Cardiology 26, 319–322 (IEEE Computers in Cardiology, 1999).

 

Kestler, H. A., Simon, S., Baune, A., Hagenbüchner, M., Schwenker, F., Palm, G. A Hierarchical Neural Object Classifier for Subsymbolic–Symbolic Coupling. In Mustererkennung 1999 (eds. Förster, W., Buhmann, J. M., Faber, A. , Faber, P.) 27–35 (Springer Verlag, 1999).

 

Kestler, H. A., Simon, S., Baune, A., Hagenbuchner, M., Schwenker, F., Palm, G. A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling .In Mustererkennung 1999 (eds. Förstner, W., Buhmann, J. M., Faber, A. & Faber, P.) 27–35 (Springer Berlin Heidelberg, 1999).

 

Baune, A., Simon, S., Kestler, H. A., Schwenker, F., Palm, G. Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter. In Autonome Mobile Systeme 1999 (eds. Schmidt, G., Hanebeck, U. , Freyberger, F.) 254–261 (Springer Verlag, 1999).

 

Hombach, V., Kestler, H. A., Osterhues, H. H., Scharf, B., Kochs, M., Höher, M. A Modern Approach to Risk Stratification in Patients with Structural Heart Disease. In Lecture Notes of the ICB Seminars 38: High–resolution Electro- and Magnetocardiography (eds. Katila, T. , Maniewski, R.) 126–136 (Polish Academy of Sciences, 1998).

 

Kestler, H. A., Schwenker, F., Palm, G., Hombach, V., Höher, M. Neuronale Netze zur Visualisierung und Klassifikation - Anwendung auf hochverstärkte EKG Signale. In Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97 (eds. Muche, R., Büchele, G., Harder, D. & Gaus, W.) 90–95 (MMV Medizin Verlag, 1997).

 

Schwenker, F., He, J., Kestler, H. A., Littman, E., Schieszl, S., Palm, G. Anwendungen neuronaler Netze. In Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren (eds. Bol, G., Nakhaeizadeh, G. , Vollmer, K.-H.) 35–70 (Physica-Verlag, 1996).

 

Schuler, R. Average polynomial time is hard for exponential time under sn-reductions. In Foundations of Software Technology and Theoretical Computer Science: 15th Conference Bangalore, India, December 18–20, 1995 Proceedings (ed. Thiagarajan, P. S.) 240–247 (Springer Berlin Heidelberg, 1995).

 

Hoher, M., Kestler, H. A., Bauer, S., Weismüller, P., Palm, G., Hombach, V. Neural network based analysis of the signal-averaged electrocardiogram. In IEEE Computer Society 257–260 (1995).

 

Kestler, H. A., Schwenker, F., Hoher, M. Combining supervised competitive learning and gradient descent learning to classify signal-averaged high-resolution electrograms. In IEEE Computers in Cardiology 381–384 (1995).


Schuler, R., Yamakami, T. Sets computable in polynomial time on average. In Computing and Combinatorics: First Annual International Conference, COCOON ‘95 Xi’an, China, August 24–26, 1995 Proceedings (eds. Du, D.-Z. , Li, M.) 400–409 (Springer Berlin Heidelberg, 1995).

 

Kestler, H. A. Kybernetik. In Wörterbuch der Kognitionswissenschaft (Klett-Cotta, 1995). Coauthor.

 

Karg, C., Schuler, R. Structure in average case complexity. In Algorithms and Computations: 6th International Symposium, ISAAC ’95 Cairns, Australia, December 4–6, 1995 Proceedings (eds. Staples, J., Eades, P., Katoh, N. , Moffat, A.) 62–71 (Springer Berlin Heidelberg, 1995). 

 

Arvind, V., Köbler, J., Schuler, R. On helping and interactive proof systems. In Algorithms and Computation: 5th International Symposium, ISAAC ’94 Beijing, P. R. China, August 25–27, 1994 Proceedings (eds. Du, D.-Z. , Zhang, X.-S.) 137–145 (Springer Berlin Heidelberg, 1994).

 

Schuler, R., Yamakami, T. Structural average case complexity. In Foundations of Software Technology and Theoretical Computer Science: 12th Conference New Delhi, India, December 18–20, 1992 Proceedings (ed. Shyamasundar, R.) 128–139 (Springer Berlin Heidelberg, 1992). 

 


 

Technical reports, Book reviews, Editorials, Letters to the Editor

 

Fürstberger, A., Lausser, L., Kraus, J.M., Schmid, M., Kestler, H.A. editors. Statistical Computing 2015 Abstracts der 47. Arbeitstagung der Arbeitsgruppen Statistical Computing (GMDS/IBS- DR), Klassifikation und Datenanalyse in den Biowissenschaften (GfKl). 17.07.-20.07.2016, Schloss Reisensburg (Günzburg). Ulmer Informatikberichte 2016/04 (2016). ISSN 0939-5091. 

 

Fürstberger, A., Lausser, L., Kraus, J.M., Schmid, M., Kestler, H.A. editors. Statistical Computing 2015 Abstracts der 47. Arbeitstagung der Arbeitsgruppen Statistical Computing (GMDS/IBS- DR), Klassifikation und Datenanalyse in den Biowissenschaften (GfKl). 20.07.-23.07.2014, Schloss Reisensburg (Günzburg). Ulmer Informatikberichte 2015/04 (2015). ISSN 0939-5091. 

 

Kestler, H.A., Schmid, M., Lausser, L., Kraus, J.M., editors. Statistical Computing 2014 46. Arbeitstagung der Arbeitsgruppen Statistical Computing (GMDS/IBS-DR), Klassifikation und Datenanalyse in den Biowissenschaften (GfKl). 20.07.-23.07.2014, Schloss Reisensburg (Günzburg). Ulmer Informatikberichte 2014/04 (2014). ISSN 0939-5091.

 

Kraus, J. M., Kestler, H. A. Subscan - a cluster algorithm for identifying statistically dense subspaces with application to biomedical data. In Statistical Computing 2013 (eds. Kestler, H. A.,
Schmid, M., Schmid, F., Maucher, M. , Kraus, J. M.). Ulm University, Germany, 2013.

Kestler, H. A. Systemrelevant: Alterung von Stammzellen. In Das SyStaR-Projekt an der Universität Ulm 6, 53–56 (2013).


Kraus, J. M., Burkovski, A., Kestler, H. A. Aggregating diverse high-throughput data for the identification of common differences between young and old. V. Else Kröner-Fresenius Symposium on Adult Stem Cells in Aging, Diseases, and Cancer, Eisenach (2013).


Kestler, H. A., Schmid, M., Schmid, F., Maucher, M. Statistical Computing 2013, no. 2013/07. Ulmer Informatikberichte (2013).  

 

Kestler, H.A., Binder, H., Schmid, M., Kraus, J.M. Statistical Computing 2012, no. 2012/02. Ulmer Informatikberichte (2012).  

 

Kestler, H. A. Book review: “Medizinische Statistik, Harms V, Harms Verlag 2012. Zeitschrift für Gastroenterologie 50, 987 (2012). 

 

Kestler, H. A., Binder, H., Schmid, M., Leisch, F., Kraus, J. M. Statistical Computing 2011, no. 2011/04. Ulmer Informatikberichte (2011).

 

Kestler, H. A., Binder, H., Lausen,B., Klenk, H.-P., Schmid, M., Leisch, F. Statistical Computing 2010 – Abstracts der 42. Arbeitstagung. Ulmer Informatikberichte 2010/05, (2010). ISSN 0939-5091.

 

Zhou, D., Müssel, C., Lausser, L., Hopfensitz, M., Kühl, M., Kestler, H. A. Boolean networks for modeling and analysis of gene regulation. Ulmer Informatikberichte 2009/10 (2009). ISSN 0939-5091.

 

Kestler, H. A., Lausen, B., Binder, H., Klenk, H.-P., Leisch, F., Schmid, M. Statistical Computing 2009, no. 2009/07. Ulmer Informatik-Berichte (2009). ISSN 0939-5091.

 

Maucher, M., Schöning, U., Kestler, H. A. On the different notions of pseudorandomness. Ulmer Informatik-Berichte 2008/11 (2008).

 

Maucher, M., Schöning, U., Kestler, H. A. An empirical assessment of local and population based search methods with different degrees of pseudorandomness. Ulmer Informatik-Berichte 2008/07 (2008).

 

Kestler, H. A., Messner, J., Müller, A., Schuler, R. On the complexity of intersecting multiple circles for graphical display. Ulmer Informatik-Berichte 2008/01 (2008). 

 

Kestler, H. A., Müller, A., Liu, H., Kane, D. W., Zeeberg, B. W., Weinstein, J. N. In Euler Diagramms 2005 (eds. Verroust-Blondet, A. & Viaud, M.-L.) (INRIA, INA, 2005). 

 

Köbler, J. , Schuler, R. Average-case intractability vs. worst-case intractability. Information and Computation 190, 1–17 (2004).

 

Kestler, H. A., Schwenker, F., Palm, G. RBF network classification of ECGs as a potential marker for sudden cardiac death. Ulmer Informatik-Bereichte (2003).

 

Grebe, O., Eberele, C., Kestler, H. A., Kochs, M., Hombach, V., Höher, M. Steady state free precession imaging for the evaluation of left ventricular function - Reference values and comparison to routine laevocardiography. ESC: Euro CMR Abstract Book:19 (2002).

 

Schwenker, F., Kestler, H. A., Palm, G. 3D Visual Object Classification with Hierarchical Radial Basis Function Networks. Ulmer Informatik-Berichte 2001/02 (2001).

 

Kestler, H.A. Annual Review of Biomedical Engineering Volume 1, 1999. Medical & Biological Engineering & Computing, N14–N16, May 2000. Book review. IF 1.790

 

Kestler, H. A. Annual Review of Biomedical Engineering Volume 1, 1999. Medical , Biological Engineering , Computing N14–N16 (2000). Simon, S., Kestler, H. A., Baune, A., Schwenker, F. , Palm, G. Werkzeuge zur visuellen Objektklassifikation. (1999).

 

Kestler, H. A. Per(l)formance Evaluation of Classifiers – Using Perl for Simulation. In GMD Report 49: Erster Deutscher Perl-Workshop 1.0 (ed. Christoffel, J.) (GMD – Forschungszentrum Informationstechnik GmbH, 1999).

 

Kestler, H. A. Calculation and Display of Confidence Bounds for Receiver Operator Characteristics. Methods of Information in Medicine 38, 74 (1999).

  

Baune, A., Simon, S., Kestler, H. A., Schwenker, F., Palm, G. Implementierungsaspekte der Objektklassifikation unter SMARTSOFT. Ulmer SFB 527 Reports 1999/10 (1999).

 

Kestler, H. A., Borst, M. , Neumann, H. Einfache Handgestikerkennung mit einem zweistufigen Nearest–neighbour Klassifikator. Ulmer SFB 527 Reports 1999/6 (1999).

 

Kestler, H. A., Mayer, G., Neumann, H. Ansätze der Clusterbasierten Objektverfolgung auf einem mobilen Roboter. Ulmer SFB 527 Reports 1999/5 (1999).

 

Kestler, H. A., Simon, S., Baune, A., Schwenker, F., Palm, G. Object classification using simple, colour based visual attention and a hierarchical neural network for neural–symbolic integration. Ulmer SFB 527 Reports 1999/4 (1999).

 

Kestler, H. A., Schwenker, F., Palm, G., Hombach, V. , Höher, M. Neuronale Netze zur Visualisierung und Klassifikation - Anwendung auf hochverstärkte EKG Signale. In Medizinische Informatik, Biometrie und Epidemiologie - GMDS 97 (eds. Muche, R., Büchele, G., Harder, D. , Gaus, W.) 90–95 MMV Medizin Verlag (1997).

 

Höher, M., Kestler, H. A., Hombach, V. Frequency and Wavelet Analysis of the Signal-Averaged Surface Electrocardiogram. Annals of Noninvasive Electrocardiology 1, 261–263 (1996).
Schuler, R. Some properties of sets tractable under every polynomial-time computable distribution. Information Processing Letters 55, 179–184 (1995).

 

Höher, M., Kestler, H. A., Hombach, V. Special computerized evaluation of high resolution electrocardiograms for risk stratification - Neural network analysis. New Trends Arrhythm 9, 859–864 (1993).

 

Kestler, H. A. Numerische Lösung dynamischer Optimierungsaufgaben mittels Algorithmen der nichtlinearen Programmierung. (Lehrstuhl für Steuerungs- und Regelungstechnik, Technische Universität München, 1989).

 

Schöning, U. , Rainer, S. Renamable-Horn clauses and unit resolution. (Universität Koblenz/Landau).