MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network

MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network

MiRNAs can regulate genes encoding specific proteins which are related to the efficacy of drugs, and predicting miRNA-drug resistance associations is of great importance. In this work, we propose an attentive multimodal graph convolution network method (AMMGC) to predict miRNA-drug resistance associ...

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Bibliographic Details
Main Authors: Yanqing Niu, Congzhi Song, Yuchong Gong, Wen Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Pharmacology
Subjects:
miRNA-drug resistance association
graph convolutional network
multimodal
deep learning
attention neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2021.799108/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2021.799108/full

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