Last data update: 2014.03.03

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

Package: RankProd
Version: 2.44.0
Date: 2011-12-13
Title: Rank Product method for identifying differentially expressed
genes with application in meta-analysis
Author: Fangxin Hong <fxhong@jimmy.harvard.edu> and Ben Wittner
<Wittner.Ben@mgh.harvard.edu> with contribution from Rainer
Breitling <r.breitling@bio.gla.ac.uk>, Colin Smith
<colin@colinsmith.org>, and Florian Battke
<battke@informatik.uni-tuebingen.de>
Maintainer: Fangxin Hong <fxhong@jimmy.harvard.edu>
Depends: R (>= 1.9.0)
Imports: graphics
Description: 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.
License: file LICENSE
License_restricts_use: yes
biocViews: DifferentialExpression
NeedsCompilation: no
Packaged: 2016-05-04 02:44:33 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: DifferentialExpression
2 images, 7 functions, 3 datasets
Reverse Depends: 2