compKcSigRegions-class: KC smart comparative

In KCsmart: Multi sample aCGH analysis package using kernel convolution

Description

A matrix containing the results the significant regions for a given compKc object and FDR.

Objects from the Class

Objects can not be created by the user directly but rather through getSigRegionsCompKC.

Slots

regionTable:

The significant regions

method:

The method used to create the null distribution

cutoff:

The cutoff for the given false discovery rate which was used to determine the significant regions

fdr:

The false discovery rate used to determine the significant regions

Methods

show

signature(object = "compKcSigRegions"): ...

write.table

signature(object = "compKcSigRegions"): ...

Examples

showClass("compKcSigRegions")

KCsmart documentation built on Nov. 8, 2020, 7:08 p.m.