An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates
Hepatitis C virus (HCV) infection affects over 71 million people worldwide, leading to severe liver diseases, including cirrhosis and hepatocellular carcinoma. The virus’s high mutation rate complicates current antiviral therapies by promoting drug resistance, emphasizing the need for novel therapeu...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
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| Series: | Sci |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2413-4155/6/4/81 |
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