xinhe-lab

Pinned Repositories

aFib_heart_atlas_mapgen_paper
Code and data resources for aFib heart atlas paper
Language:R4 7 00
ctwas
package for the causal TWAS project
Language:R39 5 2912
ctwas-paper
Code related to analysis in the ctwas paper.
Language:HTML4 6 20
GSFA
R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.
Language:C++19 3 62
GSFA_paper
Analysis code for the GSFA manuscript "A novel Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening"
Language:R2 4 12
lab-wiki
Repository for documenting lab best practices
Language:Jupyter Notebook4 5 82
m6A-ASE
Language:Jupyter Notebook1 4 00
mapgen
R package to perform gene mapping using functionally-informed genetic fine mapping
Language:R42
mirage
Mixture model based Rare variant Analysis on Genes
Language:HTML2 6 42
multigroup_ctwas
multigroup version of cTWAS package
Language:R4 0 00

xinhe-lab's Repositories

xinhe-lab/ctwas
package for the causal TWAS project
Language:R39 5 2912
xinhe-lab/GSFA
R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.
Language:C++19 3 62
xinhe-lab/aFib_heart_atlas_mapgen_paper
Code and data resources for aFib heart atlas paper
Language:R4 7 00
xinhe-lab/ctwas-paper
Code related to analysis in the ctwas paper.
Language:HTML4 6 20
xinhe-lab/lab-wiki
Repository for documenting lab best practices
Language:Jupyter Notebook4 5 82
xinhe-lab/mapgen
R package to perform gene mapping using functionally-informed genetic fine mapping
Language:R42
xinhe-lab/multigroup_ctwas
multigroup version of cTWAS package
Language:R4 0 00
xinhe-lab/GSFA_paper
Analysis code for the GSFA manuscript "A novel Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening"
Language:R2 4 12
xinhe-lab/mirage
Mixture model based Rare variant Analysis on Genes
Language:HTML2 6 42
xinhe-lab/m6A-ASE
Language:Jupyter Notebook1 4 00
xinhe-lab/RSSp
Polygenic RSS
Language:R10
xinhe-lab/fusion_twas
methods for functional summary-based imputation
Language:R0 2 00
xinhe-lab/heart_atlas
heart atlas analysis in R
Language:R0 1 01
xinhe-lab/ldsc
LD Score Regression (LDSC)
Language:Python0 2 00
xinhe-lab/sos-dockerfile-action
github action for runing SOS
Language:Shell0 5 00
xinhe-lab/UK_Biobank_GWAS
Overview of the data QC, code, and GWAS summary output from the 2017 UK Biobank data release
Language:Python0 5 00
xinhe-lab/singlegroup_ctwas
package for the causal TWAS project
Language:R