Using machine learning and big data to explore the drug resistance landscape in HIV.
Drug resistance mutations (DRMs) appear in HIV under treatment pressure. DRMs are commonly transmitted to naive patients. The standard approach to reveal new DRMs is to test for significant frequency differences of mutations between treated and naive patients. However, we then consider each mutation...
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Main Authors: | Luc Blassel, Anna Tostevin, Christian Julian Villabona-Arenas, Martine Peeters, Stéphane Hué, Olivier Gascuel, UK HIV Drug Resistance Database |
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Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2021
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Subjects: | |
Online Access: | https://doaj.org/article/f24dab1ce4724b9696dc6e25ea878cb0 |
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