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Wu, Hao, Emory University
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Deciphering the Cell Type Specific Activities from High-throughput Omics Data
Statistical Methods for Analyzing Compositional Human Microbiome Data
Statistical Methods for Mediation Analysis of Omics Data
Consensus clustering of subclone structure for multi-sample sequencing data
Cell-type-specific analysis in Alzheimer’s disease
Using deep learning methods to predict the VRC01 neutralization sensitivity by HIV-1 g...
The Epigenetics of Aging: Exploring Biomarkers and the Interplay Within the Aging Epig...
Retinal Image Classification for Diagnosis of Vogt-Koyanagi-Harada Disease
Statistical and informatics methods for analyzing next generation sequencing data
A Hierarchical Bayesian Approach to Detect DifferentiallyMethylated Loci from Bisulfit...
The Effect of Unclassified Taxa on the UniFrac Distance Measurement
A new method of network-guided dimension reduction
TET-mediated Hydroxymethylation in Reprogramming to Induced Pluripotency
Genome-wide Coexpression Dynamics in Lung Adenocarcinoma
Macro-scale genomic studies of bacterial pathogens
Statistical Methods for Biomedical Network Data
The Applications of Big Data Analytics and Machine Learning in Managing, Processing an...
Statistical and Machine Learning Methods in the Studies of Epigenetics Regulation
K-mer Based Clustering for UMI Single Cell RNA-seq Data
Novel Model-based Methods for High-throughput Genomics Data Analysis
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Spring 2020
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2013
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School
Laney Graduate School
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Rollins School of Public Health
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Department
Biostatistics
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Biostatistics and Bioinformatics
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Ph.D.
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Dissertation
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Master's Thesis
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Biology, Biostatistics
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Committee
Wu, Hao, Emory University
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Qin, Zhaohui, Emory University
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Jin, Peng, Emory University
5
Yu, Tianwei, Emory University
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Benkeser, David, Emory University
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DNA methylation
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Epigenetics
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Microbiome
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bioinformatics
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Aging
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