GACNNMDA: a computational model for predicting potential human microbe-drug associations based on graph attention network and CNN-based classifier
Abstract As new drug targets, human microbes are proven to be closely related to human health. Effective computational methods for inferring potential microbe-drug associations can provide a useful complement to conventional experimental methods and will facilitate drug research and development. How...
| Hauptverfasser: | , , |
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| Format: | Artikel |
| Sprache: | English |
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BMC
2023-02-01
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| Schriftenreihe: | BMC Bioinformatics |
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| Online Zugang: | https://doi.org/10.1186/s12859-023-05158-7 |