speed up normalizeToMatrix

[olechnwin]

Hi,
I am wondering if there is a way to speed up normalizeToMatrix or a workaround?
Thank you in advance! I really enjoy using EnrichedHeatmap so far.

[jokergoo]

For the format

normalizeToMatrix(signal, target, ...)

maybe you can split target into blocks and run normalizeToMatrix() separately, later combine them with rbind():

tl = list(
    target[1:100],
    target[101:200],
    target[201:300],
    ....
) 

ml = mclapply(tl, mc.cores = 4, function(x) normalizeToMatrix(signal, x))

m = do.call(rbind, ml)

EnrichedHeatmap(m)

[olechnwin]

Thank for your suggestions. I will try this!