Index Catalog // Emory Theses and Dissertations

Remover filtros

Filtragem por: Committee Hao Wu, Emory University Submission Type Master's Thesis

1 - 9 de 9

Lista Gallery Masonry Slideshow

1. A benchmark of rare cell type detection methods for single-cell RNA sequencing data

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

2. Transcriptome Sequencing of Peripheral Blood Reveals Distinct Expression Landscapes of COVID-19 and MIS-C Patients

Student Name:: Guo, Nanxi
Date Uploaded:: 04/26/2021
Research Field:: Biology, Bioinformatics
Department:: Biostatistics

3. 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

4. Whole-blood transcriptional signatures of different severity profiles in patients with influenza A H1N1 infection

Student Name:: Gu, Chunhui
Date Uploaded:: 04/27/2020
Research Field:: Biology, Biostatistics
Department:: Biostatistics

5. Estimating and Comparing immune cell infiltration in cancer

Student Name:: Jinjing He
Date Uploaded:: 04/20/2020
Research Field:: Biology, Bioinformatics and Biology, Cell
Department:: Biostatistics

6. Cell-type specific alteration of DNA methylation in Alzheimer’s Disease

Student Name:: Yan, Yuchen
Date Uploaded:: 04/10/2019
Research Field:: Biology, Genetics
Department:: Biostatistics

7. Cell Type–specific Gene Expression and DNA Methylation Differences in Complex Tissues

Student Name:: Geng, Siyi
Date Uploaded:: 04/09/2019
Research Field:: Biology, Biostatistics
Department:: Biostatistics

8. Development of Statistical Tool TIGAR for Transcriptome-Integrated Genetic Association Resource

Student Name:: Meng, Xiaoran
Date Uploaded:: 04/09/2019
Research Field:: Biology, Biostatistics
Department:: Biostatistics

9. Dermatologic Diseases Prediction Using Deep Learning Method on Facial Images

Student Name:: Weng, Xisha
Date Uploaded:: 04/04/2019
Research Field:: Health Sciences, Public Health and Biology, Biostatistics
Department:: Biostatistics