Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles.

ABSTRACT:

Motivation

microRNAs (miRNAs) play crucial roles in post-transcriptional gene regulation of both plants and mammals, and dysfunctions of miRNAs are often associated with tumorigenesis and development through the effects on their target messenger RNAs (mRNAs). Identifying miRNA functions is critical for understanding cancer mechanisms and determining the efficacy of drugs. Computational methods analyzing high-throughput data offer great assistance in understanding the diverse and complex relationships between miRNAs and mRNAs. However, most of the existing methods do not fully utilise the available knowledge in biology to reduce the uncertainty in the modeling process. Therefore it is desirable to develop a method that can seamlessly integrate existing biological knowledge and high-

SUBMITTER: Zhang W 

PROVIDER: S-EPMC4827848 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature