Package: RankProd 3.39.0

Francesco Del Carratore

RankProd: Rank Product method for identifying differentially expressed genes with application in meta-analysis

Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.

Authors:Francesco Del Carratore <[email protected]>, Andris Jankevics <[email protected]> Fangxin Hong <[email protected]>, Ben Wittner <[email protected]>, Rainer Breitling <[email protected]>, and Florian Battke <[email protected]>

RankProd_3.39.0.tar.gz
RankProd_3.39.0.zip(r-4.7)RankProd_3.39.0.zip(r-4.6)RankProd_3.39.0.zip(r-4.5)
RankProd_3.39.0.tgz(r-4.6-any)RankProd_3.39.0.tgz(r-4.5-any)
RankProd_3.39.0.tar.gz(r-4.7-any)RankProd_3.39.0.tar.gz(r-4.6-any)
RankProd_3.39.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RankProd/json (API)

# Install 'RankProd' in R:
install.packages('RankProd', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • apples.cl - Metabolomics data on spiked apples
  • apples.data - Metabolomics data on spiked apples
  • apples.data.vsn - Metabolomics data on spiked apples
  • arab - Genomic Response to Brassinosteroid in Arabidopsis
  • arab.cl - Genomic Response to Brassinosteroid in Arabidopsis
  • arab.gnames - Genomic Response to Brassinosteroid in Arabidopsis
  • arab.origin - Genomic Response to Brassinosteroid in Arabidopsis
  • Biom - Metabolomics data on spiked apples
  • golub - A subset of the Gene expression dataset from Golub et al.
  • golub.cl - A subset of the Gene expression dataset from Golub et al.
  • golub.gnames - A subset of the Gene expression dataset from Golub et al.
  • lym.exp - Subset of the Intensity data for 8 cDNA slides with CLL and DLBL samples from the Alizadeh et al. paper in Nature 2000
  • mz - Metabolomics data on spiked apples
  • rt - Metabolomics data on spiked apples

On BioConductor:RankProd-3.39.0(bioc 3.24)RankProd-3.38.0(bioc 3.23)

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

differentialexpressionstatisticalmethodsoftwareresearchfieldmetabolomicslipidomicsproteomicssystemsbiologygeneexpressionmicroarraygenesignaling

6.45 score 5 packages 94 scripts 714 downloads 213 mentions 7 exports 2 dependencies

Last updated from:4a83f2e991. Checks:1 ERROR, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR153
linux-devel-x86_64OK177
source / vignettesOK176
linux-release-x86_64OK133
macos-release-arm64OK74
macos-oldrel-arm64OK124
windows-develOK95
windows-releaseOK79
windows-oldrelOK77
wasm-releaseOK91

Exports:plotRPRankProductsRPRP.advanceRPadvanceRSadvancetopGene

Dependencies:gmpRmpfr

RankProd Tutorial

Rendered fromRankProd.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2016-09-16
Started: 2013-11-01