Learn R Programming

cummeRbund (version 2.14.0)

getSig: getSig

Description

Returns the identifiers of significant genes in a vector format.

Usage

"getSig"(object,x,y,alpha=0.05,level='genes',method="BH", useCuffMTC=FALSE)

Arguments

object
A CuffSet object (e.g. cuff)
x
Optional argument to restrict significance results to one pairwise comparison. Must be used with a 'y' argument to specificy the other half of the pair.
y
See x.
alpha
An alpha value by which to filter multiple-testing corrected q-values to determine significance
level
Feature level to be queried for significance (must be one of c('genes','isoforms','TSS','CDS')
method
Multiple testing method to be used for correction. (default: "BH")
useCuffMTC
Logical vector whether or not to use the multiple-testing corrected q-values from the cuffdiff analysis directly, or calculate new q-values from a subset of tests.

Value

A vector of feature IDs.

Details

This is a convenience function to quickly retrieve vectors of identifiers for genes or features that were determined to be significantly regulated between conditions by cuffdiff. This function only returns tracking IDs that correspond to tests with an 'OK' status from cuffdiff, NOTEST values are ignored. By default getSig returns a vector of IDs for all pairwise comparisons together. If you specify an 'x' AND 'y' values as sample names, then only the features that are significant in that particular pairwise comparison are reported, after appropriate multiple testing correction of output p-values.

References

None.

Examples

Run this code

	a<-readCufflinks(system.file("extdata", package="cummeRbund")) #Read cufflinks data in sample directory and creates CuffSet object 'a'
	mySig<-getSig(a,x='hESC',y='Fibroblasts',alpha=0.05,level='genes')
	head(mySig)
	

Run the code above in your browser using DataLab