Index Catalog // Emory Theses and Dissertations

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Deciphering the Cell Type Specific Activities from High-throughput Omics Data

About this Dissertation
Student Name:	Chen, Luxiao
Date Uploaded:	04/28/2023
Research Field:	Biology, Biostatistics
Department:	Biostatistics

Statistical Methods for Analyzing Compositional Human Microbiome Data

About this Dissertation
Student Name:	Hu, Yingtian
Date Uploaded:	07/28/2022
Research Field:	Biology, Biostatistics and Statistics
Department:	Biostatistics

Statistical Methods for Mediation Analysis of Omics Data

About this Dissertation
Student Name:	Lane, Andrea
Date Uploaded:	06/28/2022
Research Field:	Statistics and Health Sciences, Public Health
Department:	Biostatistics

Consensus clustering of subclone structure for multi-sample sequencing data

About this Master's Thesis
Student Name:	Zheng, Hanyi
Date Uploaded:	04/20/2020
Research Field:	Biology, Biostatistics
Department:	Biostatistics

Cell-type-specific analysis in Alzheimer’s disease

About this Master's Thesis
Student Name:	Li, Can
Date Uploaded:	04/15/2020
Research Field:	Statistics
Department:	Biostatistics

Using deep learning methods to predict the VRC01 neutralization sensitivity by HIV-1 gp160 sequence features

About this Master's Thesis
Student Name:	Chu, Zhenghao
Date Uploaded:	04/15/2020
Research Field:	Biology, Biostatistics
Department:	Biostatistics

The Epigenetics of Aging: Exploring Biomarkers and the Interplay Within the Aging Epigenome

About this Dissertation
Student Name:	Grant, Crystal
Date Uploaded:	02/16/2020
Research Field:	Gerontology, Biology, Genetics, and Biology, Bioinformatics
Department:	Biological and Biomedical Sciences

Retinal Image Classification for Diagnosis of Vogt-Koyanagi-Harada Disease

About this Master's Thesis
Student Name:	Feng, Haonan
Date Uploaded:	08/28/2018
Research Field:	Biology, Biostatistics and Biology, Bioinformatics
Department:	Biostatistics and Bioinformatics

Statistical and informatics methods for analyzing next generation sequencing data

About this Dissertation
Student Name:	Chen, Li
Date Uploaded:	08/28/2018
Research Field:	Computer Science, Biology, Biostatistics, and Biology, Bioinformatics
Department:	Computer Science and Informatics

A Hierarchical Bayesian Approach to Detect DifferentiallyMethylated Loci from Bisulfite Sequencing Data

About this Master's Thesis
Student Name:	Feng, Hao
Date Uploaded:	08/28/2018
Research Field:	Biology, Genetics, Biology, Biostatistics, and Biology, Bioinformatics
Department:	Biostatistics and Bioinformatics