Identification of Potential Prognostic Competing Triplets in High-Grade Serous Ovarian Cancer.

ABSTRACT: Increasing lncRNA-associated competing triplets were found to play important roles in cancers. With the accumulation of high-throughput sequencing data in public databases, the size of available tumor samples is becoming larger and larger, which introduces new challenges to identify competing triplets. Here, we developed a novel method, called LncMiM, to detect the lncRNA-miRNA-mRNA competing triplets in ovarian cancer with tumor samples from the TCGA database. In LncMiM, non-linear correlation analysis is used to cover the problem of weak correlations between miRNA-target pairs, which is mainly due to the difference in the magnitude of the expression level. In addition, besides the miRNA, the impact of lncRNA and mRNA on the interactions in triplets is also considered to improve the ident

SUBMITTER: Zhao J 

PROVIDER: S-EPMC7839966 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature