GCMCDTI: Graph convolutional autoencoder framework for predicting drug-target interactions based on matrix completion

Identification of potential drug-target interactions (DTIs) plays a pivotal role in the development of drug and target discovery in the public healthcare sector. However, biological experiments for predicting interactions between drugs and targets are still expensive, complicated, and time-consuming...

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Bibliographic Details

Published in:	Journal of bioinformatics and computational biology Vol. 20; no. 5; p. 2250023
Main Authors:	Li, Jing, Zhang, Chen, Li, Zhengwei, Nie, Ru, Han, Pengyong, Yang, Wenjia, Liao, Hongmei
Format:	Journal Article
Language:	English
Published:	01.10.2022
ISSN:	1757-6334, 1757-6334
Online Access:	Get more information
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