R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 7 of 7 found.
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RP (Package: RankProd) : Rank Product Analysis of Microarray

Perform rank product method to identify differentially expressed genes. It is possible to do either a one-class or two-class analysis.

● Data Source: BioConductor
● Keywords: htest
● Alias: RP
● 0 images

RPadvance (Package: RankProd) : Advanced Rank Product Analysis of Microarray

Advance rank product method to identify differentially expressed genes. It is possible to combine data from different studies, e.g. data sets generated at different laboratories.

● Data Source: BioConductor
● Keywords: htest
● Alias: RPadvance
● 0 images

RSadvance (Package: RankProd) : Advanced Rank Sum Analysis of Microarray

Advance rank sum method to identify differentially expressed genes. It is possible to combine data from different studies, e.g. data sets generated at different laboratories.

● Data Source: BioConductor
● Keywords: htest
● Alias: RSadvance
● 0 images

RandProd-internal (Package: RankProd) : Internal RankProd functions

Internal RankProd functions.

● Data Source: BioConductor
● Keywords: internal
● Alias: NaReplace, NaReplace2, Newdata, NewdataCom, OriginxyCall, OriginxyCall2, RPV1, RPV2, RPadvanceV1, RPadvanceV2, RankComp, RankProd1, RankProd1v2, RankProd2, RankSum, xyCall
● 0 images

plotGene (Package: RankProd) : Graphical Display of The expression levels

Plot the expression values and print statistical results for each individual gene based on a user query

● Data Source: BioConductor
● Keywords: htest
● Alias: plotGene
● 1 images

plotRP (Package: RankProd) : Graphical Display of the Rank Product/Sum analysis

Plot a graphical display of the estimated pfp vs number of identified genes

● Data Source: BioConductor
● Keywords: htest
● Alias: plotRP
● 1 images

topGene (Package: RankProd) : Output Significant Genes

Identify differentially expressed genes using rank product method

● Data Source: BioConductor
● Keywords: htest
● Alias: topGene
● 0 images