LAceModule: Identification of Competing Endogenous RNA Modules by Integrating Dynamic Correlation.

ABSTRACT: Competing endogenous RNAs (ceRNAs) regulate each other by competitively binding microRNAs they share. This is a vital post-transcriptional regulation mechanism and plays critical roles in physiological and pathological processes. Current computational methods for the identification of ceRNA pairs are mainly based on the correlation of the expression of ceRNA candidates and the number of shared microRNAs, without considering the sensitivity of the correlation to the expression levels of the shared microRNAs. To overcome this limitation, we introduced liquid association (LA), a dynamic correlation measure, which can evaluate the sensitivity of the correlation of ceRNAs to microRNAs, as an additional factor for the detection of ceRNAs. To this end, we firstly analyzed the effect of LA on dete

SUBMITTER: Wen X 

PROVIDER: S-EPMC7093494 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature