Predicting drug–disease associations through layer attention graph convolutional network
Abstract Background: Determining drug–disease associations is an integral part in the process of drug development. However, the identification of drug–disease associations through wet experiments is costly and inefficient. Hence, the development of efficient and high-accuracy computational methods f...
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Published in | Briefings in bioinformatics Vol. 22; no. 4 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Oxford University Press
01.07.2021
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
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