A Machine Learning Approach for Identifying Amino Acid Signatures in the HIV Env Gene Predictive of Dementia

Open Access

Peer-reviewed

Research Article

Alexander G. Holman,

Affiliation Department of Cancer Immunology and AIDS, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
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Dana Gabuzda

* E-mail: Dana_Gabuzda@dfci.harvard.edu

Affiliations Department of Cancer Immunology and AIDS, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America, Department of Neurology (Microbiology, and Immunobiology), Harvard Medical School, Boston, Massachusetts, United States of America
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HIV
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Amino acid analysis
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Protein sequencing
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Machine learning algorithms
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Cerebrospinal fluid
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Viral replication
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Antiretroviral therapy
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Machine learning
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