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Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks
Drug resistance is a primary barrier to effective treatments of HIV/AIDS. Calculating quantitative relations between genotype and phenotype observations for each inhibitor with cell-based assays requires time and money-consuming experiments. Machine learning models are good options for tackling thes...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038082/ https://www.ncbi.nlm.nih.gov/pubmed/36967989 http://dx.doi.org/10.7717/peerj.14987 |