Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
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Comparison of classifier fusion methods for predicting response to anti HIV-1 therapyProteochemometric modeling of the susceptibility of mutated variants of the HIV-1 virus to reverse transcriptase inhibitorsCan linear regression modeling help clinicians in the interpretation of genotypic resistance data? An application to derive a lopinavir-scoreThe individualized genetic barrier predicts treatment response in a large cohort of HIV-1 infected patientsUsing drug exposure for predicting drug resistance - A data-driven genotypic interpretation toolHost sequence motifs shared by HIV predict response to antiretroviral therapyPrediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study).Antiretroviral therapy optimisation without genotype resistance testing: a perspective on treatment history based modelsDrug resistance testing through remote genotyping and predicted treatment options in human immunodeficiency virus type 1 infected Tanzanian subjects failing first or second line antiretroviral therapy.Phylogenetic and geospatial evaluation of HIV-1 subtype diversity at the largest HIV center in Rhode Island.Patterns of amino acid conservation in human and animal immunodeficiency viruses.Bioinformatical assistance of selecting anti-HIV therapies: where do we stand?Predicting response to antiretroviral treatment by machine learning: the EuResist project.HIV-1 mutational pathways under multidrug therapy.Current Trends in Multidrug Optimization.Towards personalized medicine: leveraging patient similarity and drug similarity analytics.Managing drug resistance in cancer: lessons from HIV therapy
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P2860
Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
description
article científic
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article scientifique
@fr
articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on July 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
@en
Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
@nl
type
label
Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
@en
Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
@nl
prefLabel
Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
@en
Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
@nl
P2093
P2860
P50
P356
P1433
P1476
Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
@en
P2093
Anders Sönnerborg
Daniel Struck
Ehud Aharoni
Eugen Schülter
Francesca Incardona
Hani Neuvirth
Michal Rosen-Zvi
Rolf Kaiser
Yardena Peres
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN141
P407
P577
2008-07-01T00:00:00Z