Python command line tool for Multi-Trait Analysis of GWAS (MTAG)
-
Updated
Jul 6, 2023 - Python
#
multi-trait-analysis
Here are 6 public repositories matching this topic...
The tutorial for performing single-/multi-trait association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using FAVORannotator, STAARpipeline and STAARpipelineSummary
statistical-genetics whole-exome-sequencing whole-genome-sequencing functional-annotation multi-trait-analysis rare-variant-analysis staar-pipeline
-
Updated
Dec 3, 2024 - R
Fast GWAS on linear combinations of traits using only summary statistics
-
Updated
Aug 29, 2024 - Rust
An R package for performing MultiSTAAR procedure in whole-genome sequencing studies
statistical-genetics whole-genome-sequencing functional-annotation multi-trait-analysis rare-variant-analysis multistaar-procedure
-
Updated
Nov 14, 2024 - R
See https://biometris.github.io/statgenQTLxT for a full description
-
Updated
Dec 19, 2024 - R
Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
machine-learning random-forest svm cross-validation data-visualization bayesian-methods xgboost classification multi-omics multi-trait-analysis genomic-prediction gblup high-night-temperature
-
Updated
Apr 2, 2023 - R
Improve this page
Add a description, image, and links to the multi-trait-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the multi-trait-analysis topic, visit your repo's landing page and select "manage topics."