Package: GSDA 1.0

GSDA: Gene Set Distance Analysis (GSDA)

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.

Authors:Xueyuan Cao [aut, cre], Stanley Pounds [aut]

GSDA_1.0.tar.gz
GSDA_1.0.zip(r-4.7)GSDA_1.0.zip(r-4.6)GSDA_1.0.zip(r-4.5)
GSDA_1.0.tgz(r-4.6-any)GSDA_1.0.tgz(r-4.5-any)
GSDA_1.0.tar.gz(r-4.7-any)GSDA_1.0.tar.gz(r-4.6-any)
GSDA_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GSDA/json (API)

# Install 'GSDA' in R:
install.packages('GSDA', repos = c('https://xueyuancao.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xueyuancao/gsda/issues

Datasets:

On CRAN:

Conda:

microarraybioinformaticsgene expression

4.30 score 1 stars 8 scripts 598 downloads 4 mentions 10 exports 19 dependencies

Last updated from:d7f71cb8b7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK167
source / vignettesOK182
linux-release-x86_64OK122
macos-release-arm64OK197
macos-oldrel-arm64OK148
windows-develOK93
windows-releaseOK78
windows-oldrelOK126
wasm-releaseOK101

Exports:best.dist.corrcat.distdist.corrgsdaprep.gsdaprep.msigdbsurv.distU.centeruc.distwrite.gsda.csv.file

Dependencies:assertthatbabelgeneclicurldplyrgenericsgluelifecyclemagrittrmsigdbrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

An Introduction to the GSDA Package

xueyuan cao, PhD, Stan Pounds, PhD

Rendered fromGSDA.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2021-01-14
Started: 2020-06-11