Comparison of classifier fusion methods for predicting response to anti HIV-1 therapy.

Comparison of classifier fusion methods for predicting response to anti HIV-1 therapy.

<h4>Background</h4>Analysis of the viral genome for drug resistance mutations is state-of-the-art for guiding treatment selection for human immunodeficiency virus type 1 (HIV-1)-infected patients. These mutations alter the structure of viral target proteins and reduce or in the worst cas...

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Main Authors: André Altmann, Michal Rosen-Zvi, Mattia Prosperi, Ehud Aharoni, Hani Neuvirth, Eugen Schülter, Joachim Büch, Daniel Struck, Yardena Peres, Francesca Incardona, Anders Sönnerborg, Rolf Kaiser, Maurizio Zazzi, Thomas Lengauer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2008-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18941628/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18941628/?tool=EBI

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