Likelihood-Based Computational Approaches for Association Studies in Statistical Genetics.

Simple item page
dc.contributor.advisorFred Wright, Co-Chair
dc.contributor.advisorYihui Zhou, Co-Chair
dc.contributor.advisorAlison Motsinger-Reif, External
dc.contributor.advisorXinxia Peng, Member
dc.contributor.advisorDavid Reif, Member
dc.contributor.advisorRon Sederoff, Graduate School Representative
dc.contributor.authorTing, Bryan W.
dc.date.accepted2020-06-15
dc.date.accessioned2020-06-25T12:31:03Z
dc.date.available2020-06-25T12:31:03Z
dc.date.defense2020-05-01
dc.date.issued2020-05-01
dc.date.released2020-06-25
dc.date.reviewed2020-05-08
dc.date.submitted2020-05-07
dc.degree.disciplineBioinformatics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg21359
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38037
dc.titleLikelihood-Based Computational Approaches for Association Studies in Statistical Genetics.

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
903.65 KB
Format:
Adobe Portable Document Format
Download

Collections

Dissertations