Multi-subject Single Cell Deconvolution
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Updated
Mar 4, 2024 - R
Multi-subject Single Cell Deconvolution
Python command line tool for Multi-Trait Analysis of GWAS (MTAG)
An R package for performing STAAR procedure in whole-genome sequencing studies
PolyFun (POLYgenic FUNctionally-informed fine-mapping)
Find causal cell-types underlying complex trait genetics
An R package for performing association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using STAARpipeline
R package to perform Bayesian Genome-Wide Association Studies
Resources (software, data, research article) in the field of statistical genetics
A statistical test of pleiotropic effect of a genetic variant on two traits using GWAS summary statistics
An R package for performing MetaSTAAR procedure in whole-genome sequencing studies
GEAR [GEnetic Analysis Repository], contact chenguobo@gmail.com;
The tutorial for performing association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using FAVORannotator, STAARpipeline and STAARpipelineSummary
metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.
Estimate genetic correlation using predicted expression
Heritability, genetic correlation and functional enrichment estimation for case-control studies
Multi Kernel Linear Mixed Models for Complex Phenotype Prediction
An R package for summarizing and visualizing association analysis results of whole-genome/whole-exome sequencing (WGS/WES) studies generated by STAARpipeline
Julia implementation of Factored Spectrally Transformed Linear Mixed Models
Efficient algebraic functions for statistical analysis of genomic data
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