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Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1.

Bioinformatics · 2024 · PMC11153833 · PMID 38775719

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highly significantno p-value reported
On the one hand, the fact that historical mutations impact therapy prediction in a statistically highly significant fashion points to the importance of involving mutational history in the research on therapy prediction.

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