Prediction of Functional MicroRNA Targets by Integrative Modeling of MicroRNA Binding and Target Expression Data

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2019 Jan 24

PMID 30670076

Citations 405

Authors

Weijun Liu

Xiaowei Wang

Affiliations

Soon will be listed here.

Abstract

We perform a large-scale RNA sequencing study to experimentally identify genes that are downregulated by 25 miRNAs. This RNA-seq dataset is combined with public miRNA target binding data to systematically identify miRNA targeting features that are characteristic of both miRNA binding and target downregulation. By integrating these common features in a machine learning framework, we develop and validate an improved computational model for genome-wide miRNA target prediction. All prediction data can be accessed at miRDB ( http://mirdb.org ).

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