Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction.

ABSTRACT:

Background

microRNAs (miRNAs) regulate gene expression at the post-transcriptional level and they play an important role in various biological processes in the human body. Therefore, identifying their regulation mechanisms is essential for the diagnostics and therapeutics for a wide range of diseases. There have been a large number of researches which use gene expression profiles to resolve this problem. However, the current methods have their own limitations. Some of them only identify the correlation of miRNA and mRNA expression levels instead of the causal or regulatory relationships while others infer the causality but with a high computational complexity. To overcome these issues, in this study, we propose a method to identify miRNA-mRNA regulatory relationships in breast canc

SUBMITTER: Pham VV 

PROVIDER: S-EPMC6419852 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature