Cargando…
Cross-validated stepwise regression for identification of novel non-nucleoside reverse transcriptase inhibitor resistance associated mutations
BACKGROUND: Linear regression models are used to quantitatively predict drug resistance, the phenotype, from the HIV-1 viral genotype. As new antiretroviral drugs become available, new resistance pathways emerge and the number of resistance associated mutations continues to increase. To accurately i...
Autores principales: | Van der Borght, Koen, Van Craenenbroeck, Elke, Lecocq, Pierre, Van Houtte, Margriet, Van Kerckhove, Barbara, Bacheler, Lee, Verbeke, Geert, van Vlijmen, Herman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3223907/ https://www.ncbi.nlm.nih.gov/pubmed/21966893 http://dx.doi.org/10.1186/1471-2105-12-386 |
Ejemplares similares
-
Multi-model inference using mixed effects from a linear regression based genetic algorithm
por: Van der Borght, Koen, et al.
Publicado: (2014) -
Quantitative prediction of integrase inhibitor resistance from genotype through consensus linear regression modeling
por: Van der Borght, Koen, et al.
Publicado: (2013) -
A comparative analysis of HIV drug resistance interpretation based on short reverse transcriptase sequences versus full sequences
por: Steegen, Kim, et al.
Publicado: (2010) -
Development of triazine non-nucleoside reverse transcriptase inhibitors for microbicidal applications
por: Ariën, Kevin K, et al.
Publicado: (2011) -
Low rates of nucleoside reverse transcriptase inhibitor and nonnucleoside reverse transcriptase inhibitor drug resistance in Botswana
por: Moyo, Sikhulile, et al.
Publicado: (2019)