Name Mode Size
..
GSAheatmap.R 100755 4 kb
GSAsummaryTable.R 100644 4 kb
GSCsignificanceBatch.R 100644 5 kb
GSCstatBatch.R 100644 23 kb
GSCstatGenePerm.R 100644 14 kb
GSCstatSamplePerm.R 100644 3 kb
calcGeneSetStat.R 100644 3 kb
checkLoadArg.r 100644 16 kb
consensusHeatmap.R 100644 11 kb
consensusScores.R 100644 13 kb
diffExp.r 100644 21 kb
exploreGSAres.R 100644 61 kb
extractFactors.r 100644 2 kb
fdrGSEA.R 100644 4 kb
geneSetSummary.R 100644 4 kb
loadGSC.R 100644 10 kb
loadMAdata.r 100644 15 kb
networkPlot.R 100644 18 kb
networkPlot2.R 100644 21 kb
piano-package.R 100644 3 kb
polarPlot.r 100644 10 kb
print_ArrayData.r 100644 1 kb
print_GSAres.R 100644 2 kb
print_GSC.R 100644 1 kb
pvalFromDistribution.R 100644 6 kb
pvalFromFractionGenePerm.R 100644 12 kb
pvalFromFractionSamplePerm.R 100644 12 kb
runGSA.r 100644 21 kb
runGSAhyper.R 100755 10 kb
runQC.r 100644 17 kb
writeFilesForKiwi.R 100755 5 kb
README.md
# piano - An R/Bioconductor package for gene set analysis More info on the piano [web page](https://varemo.github.io/piano/). ## Installation - Most users: Get the official Bioconductor release version [here](https://www.bioconductor.org/packages/release/bioc/html/piano.html). - Advanced users: For the latest features, install the Bioconductor development version ([read more here](http://bioconductor.org/developers/how-to/useDevel/)). - Developers: The latest code is available in master or feature branches at [varemo/piano](https://github.com/varemo/piano). Install in R by `devtools::install_github("varemo/piano", ref="<branch-name>")`.