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Identification of Spatially Variable Genes (SVGs)
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Identify Unique Subtypes in Recurrent Major Depression Disorder
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Efficient quantification of pattern similarity between spatial genomics and cell morphology
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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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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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Integrate Proteomics Data with GWAS Summary data for Studying Alzheimer’s Disease by Nonparametric Bayesian Method
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Bayesian Functional Genome-wide Association Study using Standardized Individual-level and Summary-level GWAS Data
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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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