Rank Product method for identifying differentially expressed genes with application in meta-analysis
Bioconductor version: 2.5
Non-paramteric 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: Fangxin Hong <fxhong at jimmy.harvard.edu> and Ben Wittner <Wittner.Ben at mgh.harvard.edu> with contribution from Rainer Breitling <r.breitling at bio.gla.ac.uk> and Colin Smith <colin at colinsmith.org>
Maintainer: Fangxin Hong <fxhong at jimmy.harvard.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("RankProd")
To cite this package in a publication, start R and enter:
citation("RankProd")
Documentation
Details
| biocViews | DifferentialExpression |
| Depends | R (>= 1.9.0) |
| Imports | |
| Suggests | |
| System Requirements | |
| License | file LICENSE |
| URL | |
| Depends On Me | RNAither |
| Imports Me | |
| Suggests Me | oneChannelGUI |
| Version | 2.18.0 |
| Since | Bioconductor 1.6 (R-2.1) or earlier |
Package Downloads
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