DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks
Abstract Drug combination therapies are promising clinical treatments for curing patients. However, efficiently identifying valid drug combinations remains challenging because the number of available drugs has increased rapidly. In this study, we proposed a deep learning model called the Dual Featur...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-03-01
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Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13321-023-00690-3 |