The individualized genetic barrier predicts treatment response in a large cohort of HIV-1 infected patients.
The success of combination antiretroviral therapy is limited by the evolutionary escape dynamics of HIV-1. We used Isotonic Conjunctive Bayesian Networks (I-CBNs), a class of probabilistic graphical models, to describe this process. We employed partial order constraints among viral resistance mutati...
Main Authors: | , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2013-01-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC3757085?pdf=render |