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Wu, Hao, Emory University
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Novel Model-based Methods for High-throughput Genomics Data Analysis
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K-mer Based Clustering for UMI Single Cell RNA-seq Data
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Statistical and Machine Learning Methods in the Studies of Epigenetics Regulation
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The Applications of Big Data Analytics and Machine Learning in Managing, Processing and Analyzing Big Omics Data
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Statistical Methods for Biomedical Network Data
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Macro-scale genomic studies of bacterial pathogens
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Genome-wide Coexpression Dynamics in Lung Adenocarcinoma
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TET-mediated Hydroxymethylation in Reprogramming to Induced
Pluripotency
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A new method of network-guided dimension reduction
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The Effect of Unclassified Taxa on the UniFrac Distance Measurement
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A Hierarchical Bayesian Approach to Detect DifferentiallyMethylated Loci from Bisulfite Sequencing Data
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Statistical and informatics methods for analyzing next generation
sequencing data
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Retinal Image Classification for Diagnosis of Vogt-Koyanagi-Harada
Disease
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The Epigenetics of Aging: Exploring Biomarkers and the Interplay Within the Aging Epigenome
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Using deep learning methods to predict the VRC01 neutralization sensitivity by HIV-1 gp160 sequence features
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Cell-type-specific analysis in Alzheimer’s disease
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Consensus clustering of subclone structure for multi-sample sequencing data
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Statistical Methods for Mediation Analysis of Omics Data
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Statistical Methods for Analyzing Compositional Human Microbiome Data
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Deciphering the Cell Type Specific Activities from High-throughput Omics Data
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