Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders

Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders

MicroRNAs (miRNAs) are short RNA molecular fragments that regulate gene expression by targeting and inhibiting the expression of specific RNAs. Due to the fact that microRNAs affect many diseases in microbial ecology, it is necessary to predict microRNAs' association with diseases at the microb...

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Bibliographic Details
Main Authors: Qingquan Liao, Yuxiang Ye, Zihang Li, Hao Chen, Linlin Zhuo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Microbiology
Subjects:
miRNA-disease association
microbial ecology
dual-autoencoder
graph convolutional network
insufficient information
topological information
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2023.1170559/full

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https://www.frontiersin.org/articles/10.3389/fmicb.2023.1170559/full

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