BootCL.distribution {BootCL}R Documentation

Find the bootstrap distribution

Description

BootCL.distribution finds the bootstrap distribution for the measure of significance of chromosomal clustering in differentially expressed genes defined from a microarray experiment.

Usage

 BootCL.distribution(chip, sampling.count, total.sampling.count,windowsize)

Arguments

chip name of chip
sampling.count the number of genes in the cluster
total.sampling.count the number of bootstrap sampling
windowsize window size

Value

dist Distribution from Bootstrap samples
windowsize window size

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)

[Package BootCL version 1.7 Index]