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RankProd (version 2.44.0)

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

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.

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Version

Version

2.44.0

License

file LICENSE

Maintainer

Fangxin Hong

Last Published

February 15th, 2017

Functions in RankProd (2.44.0)

RPadvance

Advanced Rank Product Analysis of Microarray
golub

sub set of the Gene expression dataset from Golub et al. (1999)
lymphoma

Subset of the Intensity data for 8 cDNA slides with CLL and DLBL samples from the Alizadeh et al. paper in Nature 2000
arab

Genomic Response to Brassinosteroid in Arabidopsis
topGene

Output Significant Genes
RSadvance

Advanced Rank Sum Analysis of Microarray
plotRP

Graphical Display of the Rank Product/Sum analysis
plotGene

Graphical Display of The expression levels
RP

Rank Product Analysis of Microarray
RandProd-internal

Internal RankProd functions