The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method
Abstract Background Predicting drug-disease interactions (DDIs) is time-consuming and expensive. Improving the accuracy of prediction results is necessary, and it is crucial to develop a novel computing technology to predict new DDIs. The existing methods mostly use the construction of heterogeneous...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-01-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2575-6 |