MiRGTF-net: Integrative miRNA-gene-TF network analysis reveals key drivers of breast cancer recurrence.

ABSTRACT: Analysis of regulatory networks is a powerful framework for identification and quantification of intracellular interactions. We introduce miRGTF-net, a novel tool for construction of miRNA-gene-TF networks. We consider multiple transcriptional and post-transcriptional interaction types, including regulation of gene and miRNA expression by transcription factors, gene silencing by miRNAs, and co-expression of host genes with their intronic miRNAs. The underlying algorithm uses information on experimentally validated interactions as well as integrative miRNA/mRNA expression profiles in a given set of samples. The latter ensures simultaneous tissue-specificity and biological validity of interactions. We applied miRGTF-net to paired miRNA/mRNA-sequencing data of breast cancer samples from The C

SUBMITTER: Nersisyan S 

PROVIDER: S-EPMC8046230 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature