Predicting combinative drug pairs towards realistic screening via integrating heterogeneous features
Abstract Background Drug Combination is one of the effective approaches for treating complex diseases. However, determining combinative drug pairs in clinical trials is still costly. Thus, computational approaches are used to identify potential drug pairs in advance. Existing computational approache...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-10-01
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Series: | BMC Bioinformatics |
Online Access: | http://link.springer.com/article/10.1186/s12859-017-1818-2 |