Package: dcGSA 1.41.0

Jiehuan sun

dcGSA: Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles

Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles. In longitudinal studies, the gene expression profiles were collected at each visit from each subject and hence there are multiple measurements of the gene expression profiles for each subject. The dcGSA package could be used to assess the associations between gene sets and clinical outcomes of interest by fully taking advantage of the longitudinal nature of both the gene expression profiles and clinical outcomes.

Authors:Jiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]

dcGSA_1.41.0.tar.gz
dcGSA_1.41.0.zip(r-4.7)dcGSA_1.41.0.zip(r-4.6)dcGSA_1.41.0.zip(r-4.5)
dcGSA_1.41.0.tgz(r-4.6-any)dcGSA_1.41.0.tgz(r-4.5-any)
dcGSA_1.41.0.tar.gz(r-4.7-any)dcGSA_1.41.0.tar.gz(r-4.6-any)
dcGSA_1.41.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dcGSA/json (API)

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

On BioConductor:dcGSA-1.41.0(bioc 3.24)dcGSA-1.40.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

immunooncologygenesetenrichmentmicroarraystatisticalmethodsequencingrnaseqgeneexpression

2.30 score 1 scripts 3 exports 11 dependencies

Last updated from:400aa5ffa3. Checks:1 ERROR, 7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR171
linux-devel-x86_64WARNING187
source / vignettesOK184
linux-release-x86_64WARNING237
macos-release-arm64WARNING80
macos-oldrel-arm64WARNING74
windows-develWARNING99
windows-releaseWARNING122
windows-oldrelWARNING113
wasm-releaseOK113

Exports:dcGSALDcovreadGMT

Dependencies:BHBiocParallelcodetoolscpp11formatRfutile.loggerfutile.optionslambda.rlatticeMatrixsnow