feature_screen: Screening feature using prevalence
In iteremoval: Iteration removal method for feature selection

Description Usage Arguments Value Examples

View source: R/plots.R

Return the screened feature names.

1	feature_screen(features, prevalence)

`features`	result of `feature_prevalence(...)`
`prevalence`	the prevalence cutoff of features. The features with prevalence less than `prevalence` are removed.

Vector

g1 <- SWRG1; g0 <- SWRG0

result.complex <- feature_removal(g1, g0,
    cutoff1=0.95, cutoff0=0.925,
    offset=c(0.5, 1, 2))

prevalence.result <- feature_prevalence(result.complex, 233, hist.plot=TRUE)

feature.list <- feature_screen(prevalence.result, 3)