library(iteremoval)
removal.stat <- feature_removal(SWRG1, SWRG0, cutoff1=0.95, cutoff0=0.95,
offset=c(0.25, 0.5, 2, 4))
removal.stat <- feature_removal(SummarizedData, SummarizedData$Group==0,
cutoff1=0.95, cutoff0=0.95,
offset=c(0.25, 0.5, 2, 4))
ggiteration_trace(removal.stat) + theme_bw()
features <- feature_prevalence(removal.stat, index=255, hist.plot=TRUE)
feature_screen(features, prevalence=4)
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