Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data

作者：Weijun Liu, Xiaowei Wang · 发表于：Genome biology · 年份：2019 · DOI：10.1186/s13059-019-1629-z · 被引用次数：854 · 研究领域：MicroRNA in disease regulation、Cancer-related molecular mechanisms research、RNA modifications and cancer

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 ).