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Genome-wide TWAS of brain and blood tissues identifies novel risk genes for Alzheimer’s disease dementia
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Exploring the Genetics and Biological Pathways of Obesity through Computational Biology and Statistical Approaches
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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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Alzheimer's Disease Pathology Imputation and Risk Prediction Using Clinical Indices
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Bayesian Functional Genome-wide Association Study using Standardized Individual-level and Summary-level GWAS Data
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Investigating genetic associations using power-optimizing analytic approaches
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TIGAR-V2 with nonparametric Bayesian eQTL weights estimated from GTEx V8 & Leveraging multiple reference panels to improve TWAS power by ensemble machine learning
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EDClust: An EM-MM hybrid method for cell clustering in population-level single cell RNA sequencing
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