Article

Using machine learning and big data to explore the drug resistance landscape in HIV

2021-03-16

Abstract excerpt

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 individually and cannot hope to study interactions between several mutations. Here, we aim to leverage the ever-grow...

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Literature Corpus work: b6598ded-8aaa-59a8-a77f-285ff2633cd4
DOI: 10.1101/2021.03.16.435621

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