Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data

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...

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Bibliographic Details
Main Authors: Margaret C. Steiner, Keylie M. Gibson, Keith A. Crandall
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Viruses
Subjects:
HIV
antiretroviral therapy
HIV drug resistance
machine learning
deep learning
neural networks
Online Access:https://www.mdpi.com/1999-4915/12/5/560

Internet

https://www.mdpi.com/1999-4915/12/5/560

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