RankProd
This is the development version of RankProd; for the stable release version, see RankProd.
Rank Product method for identifying differentially expressed genes with application in meta-analysis
Bioconductor version: Development (3.21)
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")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("RankProd")
For older versions of R, please refer to the appropriate Bioconductor 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 | 3.33.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 19.5 years) |
| License | file LICENSE |
| 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, INCATome |
| Suggests Me | sigQC |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | RankProd_3.33.0.tar.gz |
| Windows Binary (x86_64) | RankProd_3.33.0.zip (64-bit only) |
| macOS Binary (x86_64) | RankProd_3.33.0.tgz |
| macOS Binary (arm64) | RankProd_3.33.0.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 |