Research
Research statement
We deal with various applications of statistics in the areas of genetics, bioinformatics and medicine, both regarding method development and data analysis
Specific areas of expertise:
- Statistical methods in bioinformatics
- Statistical analysis of gene expression data
- Statistical analysis of clinical data
- Survival analysis
- Cluster analysis
Current research topics
- Statistical analysis of genomic data for the diagnosis and therapy of cancer
- Methods for the biological interpretation of gene expression data
- Statistical analysis of proteomics data
For more information see details.
Funded projects
- NGFNplus (Nationales Genomforschungsnetzwerk) "Deciphering oncogene dependencies in human cancer oncogene mutation space" (07/2008-06/2011)
Subproject 6: "Statistical modeling of drug response and pathway alterations" - Zentrum für Angewandte Proteomik (ZAP): " Teil der Lebenswissenschaftlichen Innovationsplattform Dortmund" (04/2007-06/2008)
Project 5.1: "Statistical Analysis of Data from Mass Spectrometry and Difference Gel Electrophoresis"
