Index Catalog // Emory Theses and Dissertations

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

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

2. Statistical Methods for Analyzing Compositional Human Microbiome Data

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

3. Statistical Methods for Mediation Analysis of Omics Data

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

4. Consensus clustering of subclone structure for multi-sample sequencing data

Student Name:: Zheng, Hanyi
Date Uploaded:: 04/20/2020
Research Field:: Biology, Biostatistics
Department:: Biostatistics

5. Cell-type-specific analysis in Alzheimer’s disease

Student Name:: Li, Can
Date Uploaded:: 04/15/2020
Research Field:: Statistics
Department:: Biostatistics

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

Student Name:: Chu, Zhenghao
Date Uploaded:: 04/15/2020
Research Field:: Biology, Biostatistics
Department:: Biostatistics

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

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

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

Student Name:: Feng, Haonan
Date Uploaded:: 08/28/2018
Research Field:: Biology, Biostatistics and Biology, Bioinformatics
Department:: Biostatistics and Bioinformatics

9. Statistical and informatics methods for analyzing next generation sequencing data

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

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

Student Name:: Feng, Hao
Date Uploaded:: 08/28/2018
Research Field:: Biology, Genetics, Biology, Biostatistics, and Biology, Bioinformatics
Department:: Biostatistics and Bioinformatics