Advances in single-cell RNA sequencing (scRNA-seq) techniques have accelerated functional interpretation of disease-associated variants discovered from genome-wide association studies (GWASs). However, identification of trait-relevant cell populations is often impeded by inherent technical noise and high sparsity in scRNA-seq data. Here, we developed scPagwas, a computational approach that uncovers trait-relevant cellular context by integrating pathway activation transformation of scRNA-seq data and GWAS summary statistics. scPagwas effectively prioritizes trait-relevant genes, which facilitates identification of trait-relevant cell types/populations with high accuracy in extensive simulated and real datasets. Cellular-level association res...
Background: Recent advancements in Next Generation Sequencing (NGS) and high throughput multiplexed ...
Background: Single-cell RNA sequencing (scRNA-seq) plays a pivotal role in our understanding of cell...
With technological advances in the last decade, single cell RNA sequencing (scRNAseq) has emerged as...
Single-cell RNA sequencing (scRNA-seq) provides unique insights into the pathology and cellular orig...
Single-cell RNA sequencing (scRNA-seq) data allows to create cell type specific transcriptome profil...
More than a decade of genome-wide association studies (GWASs) have identified genetic risk variants ...
Data-driven analysis and characterization of molecular phenotypes comprises an efficient way to deci...
Over the last two decades, technological improvements have led to a tremendous reduction in the cost...
Complex diseases such as Alzheimer’s disease are driven by molecular changes in many cell types in d...
Finding interpretable targets within the genome for diseases is a primary goal of biomedical researc...
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantif...
Genome-wide association studies have successfully mapped thousands of loci associated with complex t...
Over the past 15 years, genome-wide association studies (GWASs) have enabled the systematic identifi...
Genome-wide association studies (GWASs) have identified many SNPs associated with various common dis...
We introduce an approach to identify disease-relevant tissues and cell types by analyzing gene expre...
Background: Recent advancements in Next Generation Sequencing (NGS) and high throughput multiplexed ...
Background: Single-cell RNA sequencing (scRNA-seq) plays a pivotal role in our understanding of cell...
With technological advances in the last decade, single cell RNA sequencing (scRNAseq) has emerged as...
Single-cell RNA sequencing (scRNA-seq) provides unique insights into the pathology and cellular orig...
Single-cell RNA sequencing (scRNA-seq) data allows to create cell type specific transcriptome profil...
More than a decade of genome-wide association studies (GWASs) have identified genetic risk variants ...
Data-driven analysis and characterization of molecular phenotypes comprises an efficient way to deci...
Over the last two decades, technological improvements have led to a tremendous reduction in the cost...
Complex diseases such as Alzheimer’s disease are driven by molecular changes in many cell types in d...
Finding interpretable targets within the genome for diseases is a primary goal of biomedical researc...
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantif...
Genome-wide association studies have successfully mapped thousands of loci associated with complex t...
Over the past 15 years, genome-wide association studies (GWASs) have enabled the systematic identifi...
Genome-wide association studies (GWASs) have identified many SNPs associated with various common dis...
We introduce an approach to identify disease-relevant tissues and cell types by analyzing gene expre...
Background: Recent advancements in Next Generation Sequencing (NGS) and high throughput multiplexed ...
Background: Single-cell RNA sequencing (scRNA-seq) plays a pivotal role in our understanding of cell...
With technological advances in the last decade, single cell RNA sequencing (scRNAseq) has emerged as...