BootCL.Pvalue {BootCL} | R Documentation

## Calculate the P-value

### Description

Calculate the P-value to test statistical significance of chromosomal clustering in differentially expressed genes defined from a microarray experiment.

### Usage

    BootCL.Pvalue(Bstat,distribution)

### Arguments

`Bstat` | object from BootCL.Statistic function
`distribution` | Bootstrap distribution from BootCL.distribution function

### Value

`Diff.count` | statistic to test statistical significance of chromosomal clustering
`Pvalue` | p-value
`dist` | Bootstrap distribution
`windowsize` | window size
`sampling.count` | the number of genes in the cluster
`Affy.ID` | Affymetrix ID
`Access.ID` | Accesssion ID

...

### Examples

         library(BootCL)
         chip.name<-"HG.U133A"
         data(affy.hgu133a)
         sample.cluster<-affy.hgu133a[sample(1:1000,100),1]
         sample.ID<-find.ID(chip.name,sample.cluster)
         Boot.Stat<-BootCL.Statistic(chip.name,sample.ID)
         Bdist<-BootCL.distribution(chip.name,Boot.Stat$sampling.count,total.sampling.count=10000)
         BootP<-BootCL.Pvalue(Boot.Stat,Bdist)
         BootCL.plot(BootP)

[Package BootCL version 1.7 Index]