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]