Clustering gene expression regulators: new approach to disease subtyping.

ABSTRACT: One of the main challenges in modern medicine is to stratify different patient groups in terms of underlying disease molecular mechanisms as to develop more personalized approach to therapy. Here we propose novel method for disease subtyping based on analysis of activated expression regulators on a sample-by-sample basis. Our approach relies on Sub-Network Enrichment Analysis algorithm (SNEA) which identifies gene subnetworks with significant concordant changes in expression between two conditions. Subnetwork consists of central regulator and downstream genes connected by relations extracted from global literature-extracted regulation database. Regulators found in each patient separately are clustered together and assigned activity scores which are used for final patients grouping. We show

SUBMITTER: Pyatnitskiy M 

PROVIDER: S-EPMC3887006 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature