data/simEset.R
In dbottomly/pod: Tools for patient-specific expression outlier detection
set.seed(123)
require(Biobase)
simEset <- ExpressionSet(assayData=matrix(rnorm(10000, mean=6, sd=2), nrow=1000, ncol=10, dimnames=list(paste("gene", 1:1000,sep="_"),paste("sample", 1:10 ,sep="_"))))
dbottomly/pod documentation built on May 15, 2019, 1:23 a.m.
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set.seed(123)
require(Biobase)
simEset <- ExpressionSet(assayData=matrix(rnorm(10000, mean=6, sd=2), nrow=1000, ncol=10, dimnames=list(paste("gene", 1:1000,sep="_"),paste("sample", 1:10 ,sep="_"))))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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