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
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GSDA_1.0.tgz(r-4.4-any)GSDA_1.0.tgz(r-4.3-any)
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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

10 exports 1 stars 1.68 score 18 dependencies 4 mentions 6 scripts 833 downloads

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

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winOKSep 06 2024
R-4.5-linuxOKSep 06 2024
R-4.4-winOKSep 06 2024
R-4.4-macOKSep 06 2024
R-4.3-winOKSep 06 2024
R-4.3-macOKSep 06 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 Sep 06 2024.

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