Gene network inference by probabilistic scoring of relationships from a factorized model of interactions.

ABSTRACT:

Motivation

Epistasis analysis is an essential tool of classical genetics for inferring the order of function of genes in a common pathway. Typically, it considers single and double mutant phenotypes and for a pair of genes observes whether a change in the first gene masks the effects of the mutation in the second gene. Despite the recent emergence of biotechnology techniques that can provide gene interaction data on a large, possibly genomic scale, few methods are available for quantitative epistasis analysis and epistasis-based network reconstruction.

Results

We here propose a conceptually new probabilistic approach to gene network inference from quantitative interaction data. The approach is founded on epistasis analysis. Its features are joint treatment of the mutant phen

SUBMITTER: Zitnik M 

PROVIDER: S-EPMC4229904 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature