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-4.5)GSDA_1.0.zip(r-4.4)GSDA_1.0.zip(r-4.3)
GSDA_1.0.tgz(r-4.4-any)GSDA_1.0.tgz(r-4.3-any)
GSDA_1.0.tar.gz(r-4.5-noble)GSDA_1.0.tar.gz(r-4.4-noble)
GSDA_1.0.tgz(r-4.4-emscripten)GSDA_1.0.tgz(r-4.3-emscripten)
GSDA.pdf |GSDA.html✨
GSDA/json (API)

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

Peer review:

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

Datasets:

On CRAN:

microarraybioinformaticsgene expression

4.30 score 1 stars 8 scripts 484 downloads 4 mentions 10 exports 18 dependencies

Last updated 4 years agofrom:d7f71cb8b7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

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

Dependencies:babelgeneclidplyrfansigenericsgluelifecyclemagrittrmsigdbrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

An Introduction to the GSDA Package

xueyuan cao, PhD, Stan Pounds, PhD

Rendered fromGSDA.Rmdusingknitr::rmarkdownon Nov 05 2024.

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