Package: GeneMeta 1.85.0

Bioconductor Package Maintainer

GeneMeta: MetaAnalysis for High Throughput Experiments

A collection of meta-analysis tools for analysing high throughput experimental data

Authors:Lara Lusa <[email protected]>, R. Gentleman, M. Ruschhaupt

GeneMeta_1.85.0.tar.gz
GeneMeta_1.85.0.zip(r-4.7)GeneMeta_1.85.0.zip(r-4.6)GeneMeta_1.85.0.zip(r-4.5)
GeneMeta_1.85.0.tgz(r-4.6-any)GeneMeta_1.85.0.tgz(r-4.5-any)
GeneMeta_1.85.0.tar.gz(r-4.7-any)GeneMeta_1.85.0.tar.gz(r-4.6-any)
GeneMeta_1.85.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GeneMeta/json (API)

# Install 'GeneMeta' in R:
install.packages('GeneMeta', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Nevins - Intensity data for 46 Affymetrix slides with tissue samples of breast tumors

On BioConductor:GeneMeta-1.85.0(bioc 3.24)GeneMeta-1.84.0(bioc 3.23)

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

sequencinggeneexpressionmicroarray

4.78 score 1 packages 4 scripts 594 downloads 19 mentions 13 exports 44 dependencies

Last updated from:d8fcaa2ac3. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR154
linux-devel-x86_64NOTE225
source / vignettesOK209
linux-release-x86_64NOTE224
macos-release-arm64NOTE100
macos-oldrel-arm64NOTE131
windows-develNOTE118
windows-releaseNOTE118
windows-oldrelNOTE227
wasm-releaseOK106

Exports:CountPlotdstarf.QgetdFIDRplotmu.tau2multExpFDRsigmadtau2.DLvar.tau2zScoreFDRzScorePermutedzScores

Dependencies:annotateAnnotationDbiaskpassBiobaseBiocGenericsBiostringsbitbit64blobcachemclicpp11crayoncurlDBIfastmapgenefiltergenericsgluehttrIRangesjsonliteKEGGRESTlatticelifecycleMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpkgconfigpngR6rlangRSQLiteS4VectorsSeqinfosurvivalsysvctrsXMLxtableXVector

GeneMeta Vignette

Rendered fromGeneMeta.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2013-10-25
Started: 2013-10-25