Ccmir: A Computational Approach For Competitive And Cooperative Microrna Binding Prediction

Abstract

Motivation The identification of microRNA (miRNA) target sites is important. In the past decade, dozens of computational methods have been developed to predict miRNA target sites. Despite their existence, rarely does a method consider the well-known competition and cooperation among miRNAs when attempts to discover target sites. To fill this gap, we developed a new approach called CCmiR, which takes the cooperation and competition of multiple miRNAs into account in a statistical model to predict their target sites. Results Tested on four different datasets, CCmiR predicted miRNA target sites with a high recall and a reasonable precision, and identified known and new cooperative and competitive miRNAs supported by literature. Compared with three state-of-The-Art computational methods, CCmiR had a higher recall and a higher precision.

Publication Date

1-15-2018

Publication Title

Bioinformatics

Volume

34

Issue

2

Number of Pages

198-206

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1093/bioinformatics/btx606

Socpus ID

85040627090 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85040627090

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