GSDA-package {GSDA} | R Documentation |
Gene Set Distance Analysis (GSDA)
Description
The gene-set distance analysis of omic data is implemented by generalizing distance correlations to evaluate the association of a gene set with categorical and censored event-time variables.
Details
The DESCRIPTION file:
Package: | GSDA |
Type: | Package |
Title: | Gene Set Distance Analysis (GSDA) |
Version: | 1.0 |
Date: | 2021-01-014 |
Authors@R: | c(person("Xueyuan", "Cao", email = "xcao12@uthsc.edu", role = c("aut", "cre")), person("Stanley", "Pounds", email = "stanley.pounds@stjude.org", role = c("aut"))) |
Description: | The gene-set distance analysis of omic data is implemented by generalizing distance correlations to evaluate the association of a gene set with categorical and censored event-time variables. |
Depends: | R (>= 3.5.0),msigdbr |
License: | GPL (>= 2) |
biocViews: | Microarray, Bioinformatics, Gene expression |
Suggests: | knitr, rmarkdown |
VignetteBuilder: | knitr |
LazyLoad: | yes |
Author: | Xueyuan Cao [aut, cre], Stanley Pounds [aut] |
Maintainer: | Xueyuan Cao <xcao12@uthsc.edu> |
Index of help topics:
GSDA-package Gene Set Distance Analysis (GSDA) U.center U Centering best.dist.corr Best Distance Correlattion cat.dist Distance for a Categorical Variable dist.corr Distance Correlattion gsda Gene-Set Distance Analsysis (GSDA) kegg.ml.gsets KEGG gene set data for the AML and CML pathways prep.gsda GSDA Data Preparation prep.msigdb Preparation of MSigDB for GSDA print.bdc Print Method for Best Distance Correlation print.dcor Print Method for Distance Correlation print.gsda.result Print Method for GSDA Result surv.dist Distance of a Survival Endpoint target.aml.clin Clinical outcomes for AML TARGET Project target.aml.expr RNA-seq expression from the AML TARGET project uc.dist U-centered Distance Matrix write.gsda.csv.file Write GSDA Result to a Comma Delimited File
Further information is available in the following vignettes:
GSDA | An Introduction to the GSDA Package (source, pdf) |
Author(s)
NA
Maintainer: NA
References
Cao X and Pounds S (2021) Gene-Set Distance Associations (GSDA): A Powerful Tool for Gene-Set Association Analysis.
Examples
data(target.aml.clin)
data(target.aml.expr)
data(kegg.ml.gsets)
res=gsda(target.aml.expr,
target.aml.clin,
kegg.ml.gsets,
"Chloroma","oe","ct")
[Package GSDA version 1.0 Index]