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...

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Bibliographic Details
Main Authors: Niko Beerenwinkel, Hesam Montazeri, Heike Schuhmacher, Patrick Knupfer, Viktor von Wyl, Hansjakob Furrer, Manuel Battegay, Bernard Hirschel, Matthias Cavassini, Pietro Vernazza, Enos Bernasconi, Sabine Yerly, Jürg Böni, Thomas Klimkait, Cristina Cellerai, Huldrych F Günthard, Swiss HIV Cohort Study
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3757085?pdf=render