Machine Learning Approach to Biological Applications: STI Strategies for HIV and Evolutionary Genetics.

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dc.contributor.advisorHien Tran, Chair
dc.contributor.advisorKevin Flores, Member
dc.contributor.advisorTien Khai Nguyen, Member
dc.contributor.advisorJason Franz, Graduate School Representative
dc.contributor.advisorRyan Murray, Member
dc.contributor.authorYu, Yahe
dc.date.accepted2020-11-09
dc.date.accessioned2020-11-10T13:31:07Z
dc.date.available2020-11-10T13:31:07Z
dc.date.defense2020-10-27
dc.date.issued2020-10-27
dc.date.released2020-11-10
dc.date.reviewed2020-11-02
dc.date.submitted2020-11-01
dc.degree.disciplineApplied Mathematics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg23356
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38348
dc.titleMachine Learning Approach to Biological Applications: STI Strategies for HIV and Evolutionary Genetics.

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