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Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data
The fast replication rate and lack of repair mechanisms of human immunodeficiency virus (HIV) contribute to its high mutation frequency, with some mutations resulting in the evolution of resistance to antiretroviral therapies (ART). As such, studying HIV drug resistance allows for real-time evaluati...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290575/ https://www.ncbi.nlm.nih.gov/pubmed/32438586 http://dx.doi.org/10.3390/v12050560 |