Project: Probabilistic models for inferring genetic networks from heterogenous data

2002-01-01 – 2005-12-31

Abstract

Research concerning signal transduction within cells and the thereto related genetic networks is known by its high experimental and computational complexity. By combining heterogenous data (expression, protein interaction, knockout, phylogenetic, annotation, …) additional assumptions can be made reducing this complexity.