Development and evaluation of a web application employing artificial neural networks to facilitate the prediction of antiretroviral drug resistance in patients infected with HIV-1 subtype B

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dc.contributor.advisorTaştan Bishop, Özlem
dc.contributor.advisorBishop, Nigel
dc.contributor.authorNabatanzi, Margaret
dc.date.accessioned2026-03-04T15:40:09Z
dc.date.issued2018
dc.description.abstractExpected release date-April 2019
dc.description.degreeMaster's thesis
dc.description.degreeMSc
dc.format.mimetypeapplication/pdf
dc.identifier.otherhttp://hdl.handle.net/10962/63396
dc.identifier.urihttps://researchrepository.ru.ac.za/handle/123456789/8373
dc.languageEnglish
dc.publisherRhodes University, Faculty of Science, Department of Biochemistry and Microbiology
dc.rightsNabatanzi, Margaret,Restricted access-thesis embargoed for 1 year
dc.subjectUncatalogued
dc.titleDevelopment and evaluation of a web application employing artificial neural networks to facilitate the prediction of antiretroviral drug resistance in patients infected with HIV-1 subtype B
dc.typeAcademic thesis

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Masters Degrees (Biochemistry, Microbiology and Bioinformatics)