Nothing
rowt <- function(exprs, groups, id, index, testArgs) {
genefilter::rowttests(exprs[id,index,drop=FALSE], groups)$p.value
}
rowF <- function(exprs, groups, id, index, testArgs=list(var.equal=TRUE)) {
genefilter::rowFtests(exprs[id,index,drop=FALSE], groups, testArgs$var.equal)$p.value
}
limmat <- function(exprs, groups, id, index,
testArgs=list(design=cbind(offset=1, diff=groups))) {
fit <- limma::lmFit(exprs[ ,index,drop=FALSE], testArgs$design)
fit <- limma::eBayes(fit)
pval <- fit$p.value[id,"diff"]
return(pval)
}
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