BootCL.Statistic {BootCL}R Documentation

Calculate a measure of chromosomeal spatial bias

Description

Calculate a measure of chromosomeal spatial bias, total number of counts that how many two consecutive genes are located in the same chromosome and within a predefined windowsize.

Usage

BootCL.Statistic(chip, ID.data, windowsize)

Arguments

chip name of chip
ID.data IDs from find.ID function.
windowsize window size

Value

Diff.count statistic to test statistical significance of chromosomal clustering
windowsize window size
sampling.count the number of genes in the cluster
conseq.state indicator whether two consecutive genes are located within a predefined windowsize
Affy.ID Affymetrix ID
Access.ID Accession 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)


[Package BootCL version 1.7 Index]