e16-normalVcancer: Simulating Cancer Versus Normal Datasets

In Umpire: Simulating Realistic Gene Expression and Clinical Data

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 SurvivalModel object
name	character string specifying name of the object being created
hyperp	object of class BlockHyperParameters that describes the block correlation structure.

Details

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

Author(s)

Kevin R. Coombes [e-mail], Jiexin Zhang [e-mail],

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)

Umpire documentation built on April 4, 2025, 5:26 a.m.