Inferring condition-specific miRNA activity from matched miRNA and mRNA expression data.

ABSTRACT:

Motivation

MicroRNAs (miRNAs) play crucial roles in complex cellular networks by binding to the messenger RNAs (mRNAs) of protein coding genes. It has been found that miRNA regulation is often condition-specific. A number of computational approaches have been developed to identify miRNA activity specific to a condition of interest using gene expression data. However, most of the methods only use the data in a single condition, and thus, the activity discovered may not be unique to the condition of interest. Additionally, these methods are based on statistical associations between the gene expression levels of miRNAs and mRNAs, so they may not be able to reveal real gene regulatory relationships, which are causal relationships.

Results

We propose a novel method to infer condi

SUBMITTER: Zhang J 

PROVIDER: S-EPMC4609012 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature