期刊论文

Cao, Buwen

英文

JOURNAL OF COMPUTATIONAL BIOLOGY

1066-5277

2021

28

1

33-42

10.1089/cmb.2019.0106

This work is supported by the National Natural Science Foundation of China grant numbers [61572180, 61472467, 61471164, 61672011, 61862025, and 61602164], the Hunan Provincial Natural Science Foundation of China grant numbers [2016JJ2012 and 2018JJ2024], the Key Project of the Education Department of Hunan Province grant number [17A037], and Jiangxi Provincial Natural Science Foundation of China Grant number [20181BAB211016].

本校为第一且通讯机构

Inferring potential associations between microRNAs (miRNAs) and human diseases can help people understand the pathogenesis of complex human diseases. Several computational approaches have been presented to discover novel miRNA-disease associations based on a top-ranked association model. However, some top-ranked miRNAs are not easily used to reveal the association between miRNAs and diseases. This study aims to infer miRNA-disease relationship by identifying a functional module. We first construct a miRNA functional similarity network derived f...