Adaptive Regularized Tri-factor non-negative matrix factorization for deConvolution
-
Updated
Jan 5, 2024 - C++
Adaptive Regularized Tri-factor non-negative matrix factorization for deConvolution
A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network
Poster is available:
Routine computations in regression
Assumptions about frequency-dependent architectures of complex traits bias measures of functional enrichment
The Peaks software GitHub repository
Fast Inference of Biological Networks from Directed Regulations (Findr) in Julia
An R package for performing MultiSTAAR procedure in whole-genome sequencing studies
Association testing of bisulfite sequencing methylation data via a Laplace approximation
Haplotype analysis tools for genomics studies
eXtensible Forward Time SIMulator for complex phenogenetic architectures
exploration of TreeWas/TreeWas2 code for the Zaitlen lab. Based on TreeWas developed by McVean Lab @ Oxford.
Statistical models for finding de novo recurrence and compound heterozygosity across rare disease patient cohorts
Homeworks for statistic genetics
Tools for regression using pre-computed summary statistics
Joint meta-analysis of 2-df gene and gene-environment tests in GWAS.
Add a description, image, and links to the statistical-genetics topic page so that developers can more easily learn about it.
To associate your repository with the statistical-genetics topic, visit your repo's landing page and select "manage topics."