RankProd
This is thereleased version of RankProd; for the devel version, seeRankProd.
Rank Product method for identifying differentially expressed genes with application in meta-analysis
Bioconductor version: Release (3.22)
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.
Author: Francesco Del Carratore <francesco.delcarratore at manchester.ac.uk>, Andris Jankevics <andris.jankevics at gmail.com> Fangxin Hong <fxhong at jimmy.harvard.edu>, Ben Wittner <Wittner.Ben at mgh.harvard.edu>, Rainer Breitling <rainer.breitling at manchester.ac.uk>, and Florian Battke <battke at informatik.uni-tuebingen.de>
Maintainer: Francesco Del Carratore <francescodc87 at gmail.com>
citation("RankProd")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("RankProd")For older versions of R, please refer to the appropriateBioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RankProd")| RankProd Tutorial | R Script | |
| Reference Manual | ||
| LICENSE | Text |
Details
| biocViews | DifferentialExpression,GeneExpression,GeneSignaling,Lipidomics,Metabolomics,Microarray,Proteomics,ResearchField,Software,StatisticalMethod,SystemsBiology |
| Version | 3.36.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 20.5 years) |
| License | fileLICENSE |
| Depends | R (>= 3.2.1), stats, methods,Rmpfr,gmp |
| Imports | graphics |
| System Requirements | |
| URL |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | tRanslatome |
| Imports Me | mslp,POMA,synlet |
| Suggests Me | sigQC |
| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | RankProd_3.36.0.tar.gz |
| Windows Binary (x86_64) | RankProd_3.36.0.zip |
| macOS Binary (x86_64) | RankProd_3.36.0.tgz |
| macOS Binary (arm64) | RankProd_3.36.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/RankProd |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RankProd |
| Bioc Package Browser | https://code.bioconductor.org/browse/RankProd/ |
| Package Short Url | https://bioconductor.org/packages/RankProd/ |
| Package Downloads Report | Download Stats |