Dealing with sparse data in predicting outcomes of HIV combination therapies.
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Can 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 patientsLeveraging domain information to restructure biological prediction.Bioinformatical assistance of selecting anti-HIV therapies: where do we stand?
P2860
Dealing with sparse data in predicting outcomes of HIV combination therapies.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Dealing with sparse data in predicting outcomes of HIV combination therapies.
@ast
Dealing with sparse data in predicting outcomes of HIV combination therapies.
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label
Dealing with sparse data in predicting outcomes of HIV combination therapies.
@ast
Dealing with sparse data in predicting outcomes of HIV combination therapies.
@en
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Dealing with sparse data in predicting outcomes of HIV combination therapies.
@ast
Dealing with sparse data in predicting outcomes of HIV combination therapies.
@en
P356
P1433
P1476
Dealing with sparse data in predicting outcomes of HIV combination therapies
@en
P2093
Jasmina Bogojeska
Steffen Bickel
P304
P356
10.1093/BIOINFORMATICS/BTQ361
P407
P577
2010-07-12T00:00:00Z