Medical Systems Biology
Classification
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.
Selected publications
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.
Job Openings
Wissenschaftlicher Mitarbeiter (m/w/d)
Latest News
- Integrated, cross-entity information on preventive measures for bowl, breast, and prostate cancer: evaluation study of a web application „Prevent-Take-Up“ was published in JMIR Cancer.
Our paper "Identification of ordinal relations and alternative suborders within high-dimensional molecular data" has been published in Frontiers in Bioinformatics.
Our paper "Dealing with Class Overlap Through Cluster-BasedSample Weighting" has been published in Computers.
Our paper "A novel quantum algorithm for efficient attractor search in gene regulatory networks" has been published in Patterns.
Our paper "CLL to Richter syndrome: Integrating network strategies with experiments elucidating disease drivers and personalized therapies" has been published in Science Advances.
"Deep Learning Predicts Postoperative Mobility, Activities of Daily Living, and Discharge Destination in Older Adults from Sensor Data" has been published in Sensors.
Our paper "Robust signalling entropy estimation for biological process characterization" has been published in Briefings in Bioinformatics.
"Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation" has been published in JMIR Medical Informatics.
Our paper "Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images" has been published in the International Journal of Computer Assisted Radiology and Surgery. Please find electronical supplementary material here.
- "Hydra has mammal-like mutation rates facilitating fast adaptation despite its nonaging phenotype" has been published in Genome Research.
Our paper "Boolean network modeling and its integration with experimental read-outs: An interdiscipliary presentation using a leukemia model" has been published online first in Pathologie.
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"Combined analysis of a serum mRNA/miRNA marker signature and CA 19-9 for timely and accurate diagnosis of recurrence after resection of pancreatic ductal adenocarcinoma: A prospective multicenter cohort study" has been published online first in the United European Gastroenterology Journal.
"Identifications of Similarity Metrics for Patients With Cancer: Protocol for a Scoping Review" has been published in JMIR Research Protocols.
"Recent Trends and Future Challenges in Learning from Data" has been published with Springer.
Our paper "Permutation-invariant linear classifiers" has been published in Machine Learning.
Our paper "Prediction of resistance to bevacizumab plus FOLFOX in metastatic colorectal cancer-Results of the prospective multicenter PERMAD trial" has been published in PLoS One.
- "Introducing a machine learning algorithm for delirium prediction—the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead)" has been published in Age and Ageing.
Our paper "Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio" has been published in Scientific Reports.
"Prospective study validating a multidimensional treatment decision score predicting the 24-month outcome in untreated patients with clinically isolated syndrome and early relapsing–remitting multiple sclerosis, the ProVal-MS study" has been published in Neurological Research and Practice.
Our paper "GatekeepR: an R shiny application for the identification of nodes with high dynamic impact in boolean networks" has been published online first in Bioinformatics.
Our paper "The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices" has been published in JMIR Medical Informatics.
"Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients" has been published in npj Precision Oncology.
Our paper "AMBAR-interactive alteration annotations for molecular tumor boards" has been published in Computer Methods and Programs in Biomedicine.
"A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems" has been published in STAR Protocols.
Our first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.