New Computational and Statistical Approaches to Improve the Analysis of Human Microbiome Data.

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dc.contributor.advisorJung-Ying Tzeng, Co-Chair
dc.contributor.advisorBenjamin Callahan, Co-Chair
dc.contributor.advisorManuel Kleiner, Member
dc.contributor.advisorXinxia Peng, Member
dc.contributor.authorHuang, Caizhi
dc.date.accepted2023-04-03
dc.date.accessioned2023-04-12T12:30:34Z
dc.date.available2023-04-12T12:30:34Z
dc.date.defense2023-03-14
dc.date.issued2023-03-14
dc.date.released2023-04-12
dc.date.reviewed2023-03-24
dc.date.submitted2023-03-18
dc.degree.disciplineBioinformatics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg32654
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40835
dc.titleNew Computational and Statistical Approaches to Improve the Analysis of Human Microbiome Data.

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