Predicting drug-disease associations through layer attention graph convolutional network.
Journal:
Briefings in bioinformatics
Published Date:
Jul 20, 2021
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 for predicting drug-disease associations is of great significance.