Package: gtWAS 1.1.0
gtWAS: Genome and Transcriptome Wide Association Study
Quantitative trait loci mapping and genome wide association analysis are used to find candidate molecular marker or region associated with phenotype based on linkage analysis and linkage disequilibrium. Gene expression quantitative trait loci mapping is used to find candidate molecular marker or region associated with gene expression. In this package, we applied the method in Liu W. (2011) <doi:10.1007/s00122-011-1631-7> and Gusev A. (2016) <doi:10.1038/ng.3506> to genome and transcriptome wide association study, which is aimed at revealing the association relationship between phenotype and molecular markers, expression levels, molecular markers nested within different related expression effect and expression effect nested within different related molecular marker effect. F test based on full and reduced model are performed to obtain p value or likelihood ratio statistic. The best linear model can be obtained by stepwise regression analysis.
Authors:
gtWAS_1.1.0.tar.gz
gtWAS_1.1.0.zip(r-4.5)gtWAS_1.1.0.zip(r-4.4)gtWAS_1.1.0.zip(r-4.3)
gtWAS_1.1.0.tgz(r-4.4-any)gtWAS_1.1.0.tgz(r-4.3-any)
gtWAS_1.1.0.tar.gz(r-4.5-noble)gtWAS_1.1.0.tar.gz(r-4.4-noble)
gtWAS_1.1.0.tgz(r-4.4-emscripten)gtWAS_1.1.0.tgz(r-4.3-emscripten)
gtWAS.pdf |gtWAS.html✨
gtWAS/json (API)
# Install 'gtWAS' in R: |
install.packages('gtWAS', repos = c('https://junhuili1017.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:c3bbcb55de. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | OK | Oct 30 2024 |
R-4.5-linux | OK | Oct 30 2024 |
R-4.4-win | OK | Oct 30 2024 |
R-4.4-mac | OK | Oct 30 2024 |
R-4.3-win | OK | Oct 30 2024 |
R-4.3-mac | OK | Oct 30 2024 |
Exports:AssociationModelFitStepOnestp
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Genome and Transcriptome Wide Association Study | gtWAS-package |
Data including base and expression data | alldata |
Genome and Transcriptome Wide Association | Association |
Compute model fit statistics | ModelFit |
Compute minimum p value and information criteria statistics in one step | StepOne |
stepwise regression | stp |
Phenotype data | Tdata |