Tensor-TWAS: A Novel Multi-context Transcriptome-wide Association Framework using Penalized Tensor Regression All Restricted

Chen, Ruilong (Spring 2026)

Permanent URL: https://etd.library.emory.edu/concern/etds/kw52j978p?locale=en

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About this Master's Thesis

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Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.

School	Rollins School of Public Health
Department	Biostatistics
Subfield / Discipline	Biostatistics - MPH & MSPH
Degree	M.S.P.H.
Submission	Master's Thesis
Language	English
Research Field	Biology, Genetics Biology, Bioinformatics Biology, Biostatistics
Keyword	TWAS
Committee Chair / Thesis Advisor	Jingjing Yang, Emory University
Committee Members	Michael P. Epstein, Emory University

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