Index Catalog // Emory Theses and Dissertations

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Filtro per: Committee Zhaohui Qin, Emory University

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1. Innovative methods for investigating the genetic architecture of complex human traits

Student Name:: Head, Susan
Date Uploaded:: 04/22/2024
Research Field:: Biology, Biostatistics
Department:: Biostatistics

2. Novel Machine Learning Methods for Genomic Data Analysis

Student Name:: Wang, Shiyu
Date Uploaded:: 04/18/2024
Research Field:: Artificial Intelligence, Biology, Biostatistics, and Statistics
Department:: Biostatistics

3. Efficient quantification of pattern similarity between spatial genomics and cell morphology

Student Name:: Yang, Yefeng
Date Uploaded:: 04/02/2024
Research Field:: Biology, Genetics
Department:: Biostatistics

4. Association Study between Diseases and Human Tissue-Specific Epigenomes

Student Name:: Yang, Yixin
Date Uploaded:: 04/14/2023
Research Field:: Biology, Biostatistics and Biology, Bioinformatics
Department:: Biostatistics

5. Developing enrichment analyzing methods at sub-cell type level to generate novel insights on complex disease pathogenesis

Student Name:: Wang, Boqi
Date Uploaded:: 04/10/2023
Research Field:: Biology, Genetics, Biology, Biostatistics, and Biology, Bioinformatics
Department:: Biology

6. Statistical Methods for Analyzing Microbiome Data

Student Name:: Zhu, Zhengyi
Date Uploaded:: 10/22/2022
Research Field:: Biology, Biostatistics
Department:: Biostatistics

7. Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches

Student Name:: Huang, Yanting
Date Uploaded:: 07/22/2022
Research Field:: Biology, Bioinformatics, Biology, Biostatistics, and Information Technology
Department:: Computer Science and Informatics

8. Characterizing the Developmental Trajectories for Cerebellar Volumes via Penalized Splines and Derivative Analysis

Student Name:: Li, Yiheng
Date Uploaded:: 07/07/2021
Research Field:: Biology, Neuroscience, Statistics, and Biology, Biostatistics
Department:: Biostatistics

9. EDClust: An EM-MM hybrid method for cell clustering in population-level single cell RNA sequencing

Student Name:: Wei, Xin
Date Uploaded:: 04/26/2021
Research Field:: Biology, Bioinformatics, Biology, Genetics, and Biology, Biostatistics
Department:: Biostatistics

10. Statistical Modeling and Learning in Single Cell RNA Sequencing Data

Student Name:: Su, Kenong
Date Uploaded:: 04/20/2021
Research Field:: Computer Science and Statistics
Department:: Computer Science and Informatics