NormalVsCancer {Umpire} | R Documentation |
Simulating Cancer Versus Normal Datasets
Description
These functions are useful for simulating data that compares a homogeneous "cancer" group to a homogeneous "normal" group of samples.
Usage
NormalVsCancerModel(nBlocks, survivalModel=NULL, name="NormalVsCancer")
NormalVsCancerEngine(nBlocks, hyperp)
Arguments
nBlocks |
scalar integer representing number of correlated blocks that are differentially expressed between cancer and normal |
survivalModel |
a |
name |
character string specifying name of the object being created |
hyperp |
object of class |
Details
The simplest simulation model assumes that we are comparing two homogeneous groups.
Author(s)
Kevin R. Coombes krc@silicovore.com, Jiexin Zhang jiexinzhang@mdanderson.org,
See Also
BlockHyperParameters
,
CancerEngine
,
CancerModel
Examples
nvc <- NormalVsCancerModel(10)
summary(nvc)
rand(nvc, 10)
rand(nvc, 10, balance=TRUE)
engine <- NormalVsCancerEngine(10)
dset <- rand(engine, 10, balance=TRUE)
[Package Umpire version 2.0.10 Index]