REW-ISA V2: A Biclustering Method Fusing Homologous Information for Analyzing and Mining Epi-Transcriptome Data.

ABSTRACT: Background: Previous studies have shown that N6-methyladenosine (m⁶A) is related to many life processes and physiological and pathological phenomena. However, the specific regulatory mechanism of m⁶A sites at the systematic level is not clear. Therefore, mining the RNA co-methylation patterns in the epi-transcriptome data is expected to explain the specific regulation mechanism of m⁶A. Methods: Considering that the epi-transcriptome data contains homologous information (the genes corresponding to the m⁶A sites and the cell lines corresponding to the experimental conditions), rational use of this information will help reveal the regulatory mechanism of m⁶A. Therefore, based on the RNA expression weighted iterative signatur

SUBMITTER: Zhang L 

PROVIDER: S-EPMC8194299 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature