Kathleen Marchal
Kathleen Marchal
tel.: +32 486 90 99 43
research unit: Data integration and biological networks (DBN)
website
Kathleen Marchal is Professor at the Dept. of Plant Biotechnology & Bioinformatics and at the Dept. of Information Technology, (IDLab, IMEC) at Ghent University. She has published over 160 reviewed journal publications (SCI h-index: 34) and supervised more than 20 Ph.D. students. Her lab focuses on developing computational methods for the analysis, integration and interpretation of systems biology and systems genetics data. The group is internationally recognized for network-based integrative genotype-phenotype mapping in the context of precision oncology. The group is member of the Movember Global Action Plan 6 project, focusing on oligometastatic prostate cancer and of the International Cancer Genome Consortium (ICGC)-PAWG network analysis group. K. Marchal is member of the Ghent Bioinformatics Institute and of the Cancer Research Institute Ghent (CRIG). Her group closely works with clinicians and is involved and coordinating several larger initiatives at Ghent university to set up genome driven precision oncology at UZ Ghent and UZ Antwerp.
Keywords: Bioinformatics, data-integration, precision medicine, genotype-phenotype mapping
- Simultaneous discovery of cancer subtypes and subtype features by molecular data integration. Le Van T, van Leeuwen M, Carolina Fierro A, De Maeyer D, Van den Eynden J, Verbeke L, De Raedt L, Marchal K, Nijssen S. 2016. Bioinformatics. 2016 Sep 1;32(17):i445-i454. doi: 10.1093/bioinformatics/btw434. (formalization of the cancer subtyping problem as a rank matrix factorization of ranked data that approaches the subtyping problem as multi-view bi-clustering.), Times cited (SCI): 3
- Network-Based Analysis of eQTL Data to Prioritize Driver Mutations. De Maeyer, Dries; Weytjens, Bram; De Raedt, Luc and K. Marchal. 2016. Genome Biology and Evolution Volume: 8 Issue: 3 Pages: 481-494. (application of probabilistic pathfinding to the problem of driver identification in clonal systems); Times Cited 4 (SCI)
- Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration. Verbeke LP, Van den Eynden J, Fierro AC, Demeester P, Fostier J, Marchal K. PLoS One. 2015 Jul 28;10(7):e0133503. doi: 10.1371/journal.pone.0133503. eCollection 2015. PMID: 26217958. Application of network diffusion on the driver identification problem (one of the seminal applications). Times Cited : 7 (SCI)
- Frequency-based haplotype reconstruction from deep sequencing data of bacterial populations. Pulido-Tamayo S, Sánchez-RodrÃguez A, Swings T, Van den Bergh B, Dubey A, Steenackers H, Michiels J, Fostier J, Marchal K. Nucleic Acids Res. 2015 Sep 18;43(16):e105. doi: 10.1093/nar/gkv478. Epub 2015 May 18., rank: 18/289; Times Cited SCI: 11.
- Inferring transcriptional modules from ChIP-chip, motif and microarray data. Lemmens K1, Dhollander T, De Bie T, Monsieurs P, Engelen K, Smets B, Winderickx J, De Moor B, Marchal K. 2006. Genome Biol. 2006;7(5):R37.(seminal paper on integrative itemsetmining in bioinformatics); rank: 9/139; Times Cited SCI: 67.