Jan Baumbach

"Big Data in Precision Medicine"

Jan Baumbach
26/04 2017
12:15-13:15, Danish IAS conference room (Ø18-509-1)
IDEAS

Recent advances in modern so-called omics technology allow measuring the expression of all kinds of biological entities (genes, proteins, metabolites, miRNAs, etc.) at low cost and in high-throughput.

Computational challenges for analyzing such big data emerge, ranging from the low signal to noise ratio to high model complexity, which render simple statistical questions arbitrarily complicated. We will discuss four bioinformatics approaches for de-isolating biological networks and multiple OMICS data profiles: de novo pathway enrichment, in vitro high-throughput screening data integration, time-series network co-enrichment, and breast cancer subtyping