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

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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 krc@silicovore.com, Jiexin Zhang jiexinzhang@mdanderson.org, P. Roebuck proebuck@mdanderson.org

References

OOMPA

See Also

BlockHyperParameters, CancerEngine, CancerModel

Examples

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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