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]