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Cell type identification in single-cell genomics and its applications
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Association Study between Diseases and Human Tissue-Specific Epigenomes
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Exploring the Genetics and Biological Pathways of Obesity through Computational Biology and Statistical Approaches
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Multi-tissue differential expression analyses between proxy case and control samples
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Developing enrichment analyzing methods at sub-cell type level to generate novel insights on complex disease pathogenesis
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A benchmark of rare cell type detection methods for single-cell RNA sequencing data
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Potential biomarkers for ALS/FTD as a consequence of TDP-43 loss of function
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Association between drug usage time and gene expression-based pathway score in HNSCC patients
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Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches
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Correlation analysis between MRI brain image and gene expression using ADNI data.
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Bayesian Functional Genome-wide Association Study using Standardized Individual-level and Summary-level GWAS Data
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Comparison of two models of GRN-deficiency using quantitative proteomics
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Exploration of Normalization Methods on Bulk RNA-seq Data and Single-cell RNA-seq Data
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Heritability Analysis of individual-level pathway scores in GTEx samples
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EDClust: An EM-MM hybrid method for cell clustering in population-level single cell RNA sequencing
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Evaluation of the impact of DNA Sequence Variations on in vivo Transcription Factor Binding Affinity
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Machine Learning-based Prediction of the Three Drugs Combination Synergy
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Roles of DNA methylation and hydroxymethylation in aging, immunosenescence, and gene regulation
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Genome-wide DNA methylation profile change in cancer cell lines under stresses
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Applying Genome-Wide Association Study to Analyze Novel Variants That Potentially Relate to Alzheimer’s Disease
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