CytoGTA: A cytoscape plugin for identifying discriminative subnetwork markers using a game theoretic approach.

ABSTRACT: In recent years, analyzing genome-wide expression profiles to find genetic markers has received much attention as a challenging field of research aiming at unveiling biological mechanisms behind complex disorders. The identification of reliable and reproducible markers has lately been achieved by integrating genome-scale functional relationships and transcriptome datasets, and a number of algorithms have been developed to support this strategy. In this paper, we present a promising and easily applicable tool to accomplish this goal, namely CytoGTA, which is a Cytoscape plug-in that relies on an optimistic game theoretic approach (GTA) for identifying subnetwork markers. Given transcriptomic data of two phenotype classes and interactome data, this plug-in offers discriminative markers for t

SUBMITTER: Farahmand S 

PROVIDER: S-EPMC5624584 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature