https://github.com/ctlab/phantasus
Revision 6f409af4bcb713f8013b1906ad928566cee1957d authored by petrovich on 17 October 2018, 01:38:00 UTC, committed by petrovich on 17 October 2018, 01:38:00 UTC
1 parent 4f02356
Tip revision: 6f409af4bcb713f8013b1906ad928566cee1957d authored by petrovich on 17 October 2018, 01:38:00 UTC
Update JS
Update JS
Tip revision: 6f409af
adjustDataset.R
adjustDataset <- function (es, scaleColumnSum = NULL, log2 = FALSE, onePlusLog2 = FALSE,
inverseLog2 = FALSE, quantileNormalize = FALSE, zScore = FALSE,
robustZScore = FALSE, sweep = NULL) {
if (length(scaleColumnSum) > 0 && is.numeric(scaleColumnSum)) {
sum <- apply(exprs(es), 2, sum, na.rm = TRUE)
sum <- t(scaleColumnSum / sum)
exprs(es) <- sweep(exprs(es), 2, sum, "*")
}
if (log2) {
exprs(es) <- apply(exprs(es), c(1,2), function (value) {
safeLog2(value)
})
}
if (onePlusLog2) {
exprs(es) <- apply(exprs(es), c(1,2), function (value) {
safeLog2(value + 1)
})
}
if (inverseLog2) {
exprs(es) <- apply(exprs(es), c(1,2), function (value) {
2^value
})
}
if (quantileNormalize) {
exprs(es) <- normalizeBetweenArrays(exprs(es), method = 'quantile')
}
if (zScore) {
exprs(es) <- t(scale(t(exprs(es))))
}
if (robustZScore) {
medians <- apply(exprs(es), 1, median)
exprs(es) <- sweep(exprs(es), 1, medians, "-")
mads <- apply(exprs(es), 1, mad)
exprs(es) <- sweep(exprs(es), 1, mads, "/")
}
if (length(sweep) > 0) {
if (sweep$mode == 'row') {
margin <- 1
target <- fData(es)[[sweep$name]]
} else {
margin <- 2
target <- phenoData(es)[[sweep$name]]
}
exprs(es) <- sweep(exprs(es), margin, target, sweep$op)
}
assign("es", es, envir = parent.frame())
}
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