HIV viremia / JE / HIV / MS / acute immunodeficiency syndrome / HIV genotype / AIDS / Infectious Diseases / infection / /
MedicalTreatment
antiretroviral treatment / antiretroviral therapy / highly active antiretroviral therapy / Antiviral Therapy / drug therapy / /
Organization
National Institute of Health / Royal Society of London / National Academy of Sciences / Mittler* Department of Microbiology / University of Washington / Seattle / Stanford / /
Person
Ross L. Genotypic / Ekachai Jenwitheesuk / Ram Samudrala / Van Laethem / Kai Wang / John E Mittler / / /
Journal of Virology / Current Opinion / Clinical Microbiology Reviews / Antiviral Therapy / Journal of Clinical Microbiology / Proceedings of the National Academy of Sciences / Nature Medicine / Journal of Acquired Immune Deficiency Syndromes / Proceedings of the Royal Society / Nucleic Acids Research / the Antiviral Therapy / /
RadioStation
Vandamme AM / /
Technology
corresponding algorithm / Bioinformatics / four rules-based algorithms / HIV genotypic drug resistance algorithm Rega algorithm / rule-based algorithm / search engine / machine learning / HIV genotypic interpretation algorithms / pdf / genotypic drug resistance interpretation algorithm / lopinavir genotype algorithm / seven algorithms / pattern-matching algorithm / neural network / genotypic interpretation algorithms / SVM algorithm / rule-based algorithms / four rule-based algorithms / pharmacodynamics / genotype / HIV genotypic drug resistance algorithm / DT algorithm / Three rule-based algorithms / /
Antiviral Therapy 9:Simple linear model provides highly accurate genotypic predictions of HIV-1 drug resistance Kai Wang, Ekachai Jenwitheesuk, Ram Samudrala and John E Mittler* Department of Microbiology, Unive