biostudies-literatureUnknown14(7)Do DMicroRNAs (miRNAs) inhibit expression of target genes by binding to their RNA transcripts. It has been recently shown that RNA transcripts targeted by the same miRNA could "compete" for the miRNA molecules and thereby indirectly regulate each other. Experimental evidence has suggested that the aberration of such miRNA-mediated interaction between RNAs-called competing endogenous RNA (ceRNA) interaction-can play important roles in tumorigenesis. Given the difficulty of deciphering context-specific miRNA binding, and the existence of various gene regulatory factors such as DNA methylation and copy number alteration, inferring context-specific ceRNA interactions accurately is a computationally challenging task. Here we propose a computational method called Cancerin to identify cancer-associatPLoS computational biologye1006318https://www.ebi.ac.uk/biostudies/studies/S-EPMC6072113biostudies-literatureCancerin: A computational pipeline to infer cancer-associated ceRNA interaction networks.PMC6072113Do DBozdag SfalseCancerin: A computational pipeline to infer cancer-associated ceRNA interaction networks.MicroRNAs (miRNAs) inhibit expression of target genes by binding to their RNA transcripts. It has been recently shown that RNA transcripts targeted by the same miRNA could "compete" for the miRNA molecules and thereby indirectly regulate each other. Experimental evidence has suggested that the aberration of such miRNA-mediated interaction between RNAs-called competing endogenous RNA (ceRNA) interaction-can play important roles in tumorigenesis. Given the difficulty of deciphering context-specific miRNA binding, and the existence of various gene regulatory factors such as DNA methylation and copy number alteration, inferring context-specific ceRNA interactions accurately is a computationally challenging task. Here we propose a computational method called Cancerin to identify cancer-associat2018-01-01T00:00:00Z2018 Jul2025-04-19T21:01:43.073Z2019-03-26T23:51:15ZS-EPMC60721133001126610.1371/journal.pcbi.1006318