Molecular causes of transcriptional response: a Bayesian prior knowledge approach.

ABSTRACT:

Motivation

The abundance of many transcripts changes significantly in response to a variety of molecular and environmental perturbations. A key question in this setting is as follows: what intermediate molecular perturbations gave rise to the observed transcriptional changes? Regulatory programs are not exclusively governed by transcriptional changes but also by protein abundance and post-translational modifications making direct causal inference from data difficult. However, biomedical research over the last decades has uncovered a plethora of causal signaling cascades that can be used to identify good candidates explaining a specific set of transcriptional changes.

Methods

We take a Bayesian approach to integrate gene expression profiling with a causal graph of molecular i

SUBMITTER: Zarringhalam K 

PROVIDER: S-EPMC5994944 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature