Original paper
Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data
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...
Paper Details
Title
Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data
Published Date
Jan 22, 2019
Journal
Volume
20
Issue
1
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Notes
History