calcGsri(exprs, groups, name, id, weights, grenander=TRUE, nBoot=100,
test=NULL, testArgs=NULL, alpha=0.05, verbose=FALSE, ...)
multiStat(exprs, groups, id, index, test, testArgs)
gsriBoot(exprs, groups, weights, id, grenander, test, testArgs, nSamples)
bootInGroups(nSamples)
getArgs(name, first=NULL, last=NULL, ...)
gsri
methods.
Julian Gehring, Clemens Kreutz, Jens Timmer: les: Identifying Loci of Enhanced Significance in Tiling Microarray Data http://bioconductor.org/help/bioc-views/release/bioc/html/les.html
Korbinian Strimmer: fdrtool: Estimation and Control of (Local) False Discovery Rates. http://CRAN.R-project.org/package=fdrtool
Robert Gentleman, Vincent J. Carey, Wolfgang Huber, Florian Hahne: genefilter: methods for filtering genes from microarray experiments. http://bioconductor.org/help/bioc-views/release/bioc/html/genefilter.html
GSRI-package
Class:
Gsri
Methods:
gsri
getGsri
getCdf
getParms
export
sortGsri
plot
show
summary
readCls
readGct