Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks
Conclusion: Our results suggest possible applications of TNBN for studying drug-mutation and mutation–mutation networks in the context of antiretroviral therapy, with direct impact on the clinical management of patients under antiretroviral therapy. This opens new horizons for predicting HIV mutational pathways in immune selection with relevance for antiretroviral drug development and therapy plan.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Authors: Pablo Hernandez-Leal, Alma Rios-Flores, Santiago Ávila-Rios, Gustavo Reyes-Terán, Jesus A. Gonzalez, Lindsey Fiedler-Cameras, Felipe Orihuela-Espina, Eduardo F. Morales, L. Enrique Sucar Tags: Special Issue Articles Source Type: research
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