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Dataset Information

CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer.


ABSTRACT:

Background

Non-coding RNAs (ncRNAs) are emerging as key regulators and play critical roles in a wide range of tumorigenesis. Recent studies have suggested that long non-coding RNAs (lncRNAs) could interact with microRNAs (miRNAs) and indirectly regulate miRNA targets through competing interactions. Therefore, uncovering the competing endogenous RNA (ceRNA) regulatory mechanism of lncRNAs, miRNAs and mRNAs in post-transcriptional level will aid in deciphering the underlying pathogenesis of human polygenic diseases and may unveil new diagnostic and therapeutic opportunities. However, the functional roles of vast majority of cancer specific ncRNAs and their combinational regulation patterns are still insufficiently understood.

Results

Here we develop an integrative framework ca

SUBMITTER: Xiao Q 

PROVIDER: S-EPMC6367773 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature