GARS_PlotFeaturesUsage {GARS} | R Documentation |
This function allows assessing visually how many times a feature is selected across the generations. In principle, a highly recurring feature is more likely to be important.
GARS_PlotFeaturesUsage(popul.list, allFeat, nFeat = length(allFeat))
popul.list |
A SummarizedExpression object |
allFeat |
A character vector containing the list of the all features name. Often, it corresponds to the columns name of the data matrix. |
nFeat |
The number of features which have to be plotted.
Default is ' |
A bubble chart where each plotted feature is represented by a colored circle. A feature is important (i.e. conserved) if the size is wide and the color tends to red; the smaller the size, the lighter the color and less informative the feature.
Mattia Chiesa, Luca Piacentini
# use example data: data(GARS_data_norm) data(GARS_pop_list) allfeat_names <- colnames(GARS_data_norm) GARS_PlotFeaturesUsage(GARS_pop_list, allfeat_names, nFeat = 10)