NormalVsCancer {Umpire} | R Documentation |
These functions are useful for simulating data that compares a homogeneous "cancer" group to a homogeneous "normal" group of samples.
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 |
name |
character string specifying name of the object being created |
hyperp |
object of class |
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)