e16-normalVcancer: Simulating Cancer Versus Normal Datasets
In Umpire: Simulating Realistic Gene Expression and Clinical Data

Description Usage Arguments Details Author(s) See Also Examples

These functions are useful for simulating data that compares a homogeneous "cancer" group to a homogeneous "normal" group of samples.

1 2	NormalVsCancerModel(nBlocks, survivalModel=NULL, name="NormalVsCancer") NormalVsCancerEngine(nBlocks, hyperp)

`nBlocks`	scalar integer representing number of correlated blocks that are differentially expressed between cancer and normal
`survivalModel`	a `SurvivalModel` object
`name`	character string specifying name of the object being created
`hyperp`	object of class `BlockHyperParameters` that describes the block correlation structure.

The simplest simulation model assumes that we are comparing two homogeneous groups.

Kevin R. Coombes krc@silicovore.com, Jiexin Zhang jiexinzhang@mdanderson.org,

BlockHyperParameters, CancerEngine, CancerModel

nvc <- NormalVsCancerModel(10)
summary(nvc)
rand(nvc, 10)
rand(nvc, 10, balance=TRUE)
engine <- NormalVsCancerEngine(10)
dset <- rand(engine, 10, balance=TRUE)