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]