Partially observed bipartite network analysis to identify predictive connections in transcriptional regulatory networks.

ABSTRACT:

Background

Messenger RNA expression is regulated by a complex interplay of different regulatory proteins. Unfortunately, directly measuring the individual activity of these regulatory proteins is difficult, leaving us with only the resulting gene expression pattern as a marker for the underlying regulatory network or regulator-gene associations. Furthermore, traditional methods to predict these regulator-gene associations do not define the relative importance of each association, leading to a large number of connections in the global regulatory network that, although true, are not useful.

Results

Here we present a Bayesian method that identifies which known transcriptional relationships in a regulatory network are consistent with a given body of static gene expression data b

SUBMITTER: Alvarez A 

PROVIDER: S-EPMC3117734 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature