Nothing
GNUSE <- function(object,medianSE=NULL,type=c("plot","values","stats","density"),...){
type <- match.arg(type)
if(length(se.exprs(object))==0) stop("Object does not contain standard errors.")
if(is.null(medianSE)){
platform <- gsub("..entrezg", "", annotation(object))
pkg <- paste(platform, "frmavecs", sep="")
require(pkg, character.only=TRUE, quietly=TRUE) || stop(paste(pkg, "package must be installed first"))
vecdataname <- paste(annotation(object), "frmavecs", sep="")
data(list=eval(vecdataname))
medianSE <- get(vecdataname)$medianSE
}
if(nrow(se.exprs(object))!=length(medianSE)) stop("nrow(se.exprs(object)) does not equal length(medianSE). This may be caused by ExonFeatureSet or GeneFeatureSet objects not summarized at the probeset level.")
gnuses <- sweep(se.exprs(object),1,medianSE,FUN='/')
if(any(is.na(gnuses))) message("Some GNUSE values are NA. This is often due to probesets with only 1 probe.")
if (type == "values"){
return(gnuses)
} else if (type == "density"){
plotDensity(gnuses, ...)
} else if (type=="stats"){
Medians <- apply(gnuses,2,median, na.rm=TRUE)
Quantiles <- apply(gnuses,2,quantile,prob=c(0.25,0.75,0.95,0.99), na.rm=TRUE)
nuse.stats <- rbind(Medians,Quantiles[2,] - Quantiles[1,],Quantiles[3,],Quantiles[4,])
rownames(nuse.stats) <- c("median","IQR","95%","99%")
return(nuse.stats)
}
if (type == "plot"){
boxplot(data.frame(gnuses), ...)
}
}
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