Predicting miRNA-disease associations based on graph attention network with multi-source information

Predicting miRNA-disease associations based on graph attention network with multi-source information

Abstract Background There is a growing body of evidence from biological experiments suggesting that microRNAs (miRNAs) play a significant regulatory role in both diverse cellular activities and pathological processes. Exploring miRNA-disease associations not only can decipher pathogenic mechanisms b...

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Bibliographic Details
Main Authors: Guanghui Li, Tao Fang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Bioinformatics
Subjects:
miRNA-disease associations
Graph attention network
Feature fusion
Random forest
Online Access:https://doi.org/10.1186/s12859-022-04796-7

Internet

https://doi.org/10.1186/s12859-022-04796-7

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