Large-scale inference of competing endogenous RNA networks with sparse partial correlation.

ABSTRACT:

Motivation

MicroRNAs (miRNAs) are important non-coding post-transcriptional regulators that are involved in many biological processes and human diseases. Individual miRNAs may regulate hundreds of genes, giving rise to a complex gene regulatory network in which transcripts carrying miRNA binding sites act as competing endogenous RNAs (ceRNAs). Several methods for the analysis of ceRNA interactions exist, but these do often not adjust for statistical confounders or address the problem that more than one miRNA interacts with a target transcript.

Results

We present SPONGE, a method for the fast construction of ceRNA networks. SPONGE uses 'multiple sensitivity correlation', a newly defined measure for which we can estimate a distribution under a null hypothesis. SPONGE can accur

SUBMITTER: List M 

PROVIDER: S-EPMC6612827 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature