Kramer, Frank, Dr.
Head of Junior Research Group e:Med MultiPath
- Since 2016
Head of BMBF e:Med Junior Research Group MultiPath (self-acquired and independent) at the Department of Medical Statistics, UMG, Göttingen
- 2014 -2016
PostDoc at the Department of Medical Statistics, UMG, Göttingen
- 2009 - 2014
PhD-Studies at the Department of Medical Statistics, UMG, Göttingen („Analysis of gene expression data and signaling networks“)
- 2006
Software engineering internship at CMPMedica Brussels
- 2002-2009
Studies in computer sciences, specializing in databases, software engineering, distributed systems & middleware and subsidiary subject business economics. Friedrich-Alexander-Universität Erlangen-Nürnberg
Current Webpage
http://www.ams.med.uni-goettingen.de/kramer-en.shtml
Major Research Interests
Currently the integration of prior knowledge about biological pathways as well as re-tracing the use of specific pathway knowledge in scientific publications is in-efficient and cumbersome. My group focuses on an efficient (re-)use of existing knowledge in systems-medicine approaches.
On the one hand we aim to boost reproducible research for pathway knowledge in clinical research via standardization and documentation efforts. Our central aim is the definition of a multi-layer pathway modeling framework which offers a generic and extendable format for integrating multiple pathway types and further knowledge sources influencing these pathways. On the other hand we perform statistical analyses of high-dimensional data, especially in regards to the integration of prior knowledge into these analyses.
Selected Recent Publications
- Emons,G. et al. (2017) Chemoradiotherapy Resistance in Colorectal Cancer Cells is Mediated by Wnt/β-catenin Signaling. Mol. Cancer Res.
- Kramer,F. and Beißbarth,T. (2017) Working with Ontologies. Methods Mol. Biol., 1525, 123–135.
- Bayerlová,M. et al. (2015) Comparative study on gene set and pathway topology-based enrichment methods. BMC Bioinformatics, 16, 334.
- Kramer,F. et al. (2014) R-Based Software for the Integration of Pathway Data into Bioinformatic Algorithms. Biology, 3, 85–100.
- Kramer,F. et al. (2013) rBiopaxParser—an R package to parse, modify and visualize BioPAX data. Bioinformatics, 29, 520–522.