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Here we combine the 4 datasets generated by getImportanceFeaturesFBMobjects function from different prediction experiments (clf object + X + y) ; designed to combine predomics results with different X, y source data for unified visualization (feature prevalence in FBM, feature importance, feature effect size across groups, feature prevalence across groups)

Usage

plotImportanceFeaturesFBMobjects(
  FBMobjList,
  verbose = TRUE,
  nb.top.features = 100,
  makeplot = TRUE
)

Arguments

FBMobjList

List of outputs of getImportanceFeaturesFBMobjects function (1 list per experiment to combine)

verbose

print out informaiton

nb.top.features

features to retain for visualization (top features with highest mean feature importance across datasets)

makeplot

make a pdf file with the resulting plots (default:TRUE)

Value

Combined visualization of feature prevalence in FBM + feature importance + feature effect size across groups + feature prevalence across groups in different predomics prediction tasks