Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition

Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition

The accurate prediction of potential associations between microRNAs (miRNAs) and small molecule (SM) drugs can enhance our knowledge of how SM cures endogenous miRNA-related diseases. Given that traditional methods for predicting SM-miRNA associations are time-consuming and arduous, a number of comp...

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Bibliographic Details
Main Authors: Jie Ni, Xiaolong Cheng, Tongguang Ni, Jiuzhen Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Molecular Biosciences
Subjects:
microRNA
small molecule
deep learning
association prediction
matrix decomposition
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.1009099/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2022.1009099/full

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