Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning

Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning

The ability to predict HIV-1 resistance to broadly neutralizing antibodies (bnAbs) will increase bnAb therapeutic benefits. Machine learning is a powerful approach for such prediction. One challenge is that some HIV-1 subtypes in currently available training datasets are underrepresented, which like...

書誌詳細
主要な著者:	Igiraneza, AB, Zacharopoulou, P, Hinch, R, Wymant, C, Abeler-Dörner, L, Frater, J, Fraser, C
フォーマット:	Journal article
言語:	English
出版事項:	Public Library of Science 2024

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