Constraints on signaling network logic reveal functional subgraphs on Multiple Myeloma OMIC data.

ABSTRACT:

Background

The integration of gene expression profiles (GEPs) and large-scale biological networks derived from pathways databases is a subject which is being widely explored. Existing methods are based on network distance measures among significantly measured species. Only a small number of them include the directionality and underlying logic existing in biological networks. In this study we approach the GEP-networks integration problem by considering the network logic, however our approach does not require a prior species selection according to their gene expression level.

Results

We start by modeling the biological network representing its underlying logic using Logic Programming. This model points to reachable network discrete states that maximize a notion of harmony betw

SUBMITTER: Miannay B 

PROVIDER: S-EPMC5872385 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature