An automated categorization of probes can provide assistance to medical investigators in many diagnostic settings. The models obtained from the training procedure of a classifier can provide insights into the structure of the data, in particular into the properties that distinguish the categories.
A focus of our research lies on ensembles of single-threshold classifiers, which allow for an easy interpretation of the models. We also investigate methods to assess and compare classifier models theoretically and empirically, and to optimize classifier parameters.
L. Lausser, C. Müssel, A. Melkozerov, and H. A. Kestler. Identifying predictive hubs to condense the training set of k-nearest neighbour classifiers. Computational Statistics, 29(1-2):81-95, 2014.
L. Lausser, F. Schmid, M. Schmid, and H. A. Kestler. Unlabeling data can improve classification accuracy. Pattern Recognition Letters, 37:15-23, 2014.
T. M. Gress, H. A. Kestler, L. Lausser, L. Fiedler, B. Sipos, C. W. Michalski, J. Werner, N. Giese, A. Scarpa, and M. Buchholz. Differentiation of multiple types of pancreatico-biliary tumors by molecular analysis of clinical specimens. J Mol Med (Berl), 2012.
M. Watabe-Rudolph, Z. Song, L. Lausser, C. Schnack, Y. Begus-Nahrmann, M. Scheithauer, G. Rettinger, M. Otto, H. Tumani, D. R. Thal, J. Attems, K. A. Jellinger, H. A. Kestler, C. A. F. von Arnim, and K. L. Rudolph. Chitinase enzyme activity in CSF is a powerful biomarker of alzheimer disease. Neurology, 78(8):569–577, 2012.
C. Müssel, L. Lausser, M. Maucher, and H. A. Kestler. Multi-Objective parameter selection for classifiers. Journal of Statistical Software, 46(5):1–27, 2012.
L.-H. Meyer, S. M. Eckhoff, M. Queudeville, J. M. Kraus, M. Giordan, J. Stursberg, A. Zangrando, E. Vendramini, A. Moericke, M. Zimmermann, A. Schrauder, G. Lahr, K. Holzmann, M. Schrappe, G. Basso, K. Stahnke, H. A. Kestler, G. te Kronnie, and K.-M. Debatin. 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(2):206–217, 2011.
M. Buchholz, H. A. Kestler, A. Bauer, W. Böck, B. Rau, G. Leder, W. Kratzer, M. Bommer, A. Scarpa, M. K. Schilling, G. Adler, J. D. Hoheisel, and T. M. Gress. Specialized DNA arrays for the differentiation of pancreatic tumors. Clin Cancer Res, 11(22):8048–54, 2005.
Our first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.
Our paper "Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images" has been published in Frontiers in Artificial Intelligence.
"Vaccine Side Effects in Health Care Workers after Vaccination against SARS-CoV-2: Data from TüSeRe:exact Study" has been published in Viruses-Basel.
"PREDICT-juvenile-stroke: PRospective evaluation of a prediction score determining individual clinical outcome three months after ischemic stroke in young adults – a study protocol" has been published in BMC Neurology.
Our paper "Federated Electronic Data Capture (fEDC): Architecture and Prototype" has been accepted for publiaction in the Journal of Biomedical Informatics.
Our paper "Efficient cross-valdation traversals in feature subset selection" has been published in Scientific Reports.
Our paper "CANTATA - prediction of missing links in Boolean networks using genetic programming" has been published in Bioinformatics.
Our paper "Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives" has been published in the Journal of Medical Internet Research mhealth and uhealth.
Our paper "Identification of dynamic driver sets controlling phenotypical landscapes" has been published in the Computational and Structural Biotechnology Journal.
Congratulations to Dr. Silke Werle for winning the 1st Prize with her pitch at the 1. Science Day held by ProTrainU.
Our paper "Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells" has been published in the Computational and Structural Biotechnology Journal.
The position paper "Is there a role for statistics in artificial intelligence" has been published online first in Advances in Data Analysis and Classification.