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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 Mediation Analysis of Omics Data
Consensus clustering of subclone structure for multi-sample sequencing data
Cell-type-specific analysis in Alzheimer’s disease
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...
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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Year
2017
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Spring 2018
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Spring 2020
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2013
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School
Laney Graduate School
5
Rollins School of Public Health
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Department / Specialty
Biostatistics
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Biostatistics and Bioinformatics
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Computer Science and Informatics
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Degree
Ph.D.
4
M.S.P.H.
3
MSPH
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PhD
1
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Dissertation
5
Master's Thesis
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Biology, Biostatistics
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Biology, Bioinformatics
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Statistics
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Biology, Genetics
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Computer Science
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Wu, Hao, Emory University
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Qin, Zhaohui, Emory University
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Cooper, Lee, Emory University
2
Jin, Peng, Emory University
2
Benkeser, David, Emory University
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DNA methylation
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Alzheimer’s disease
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Beta-Binomial
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Bioinformatics, Epigenetics, Genetics, Machine learning
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Biostatistics
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