get_ig {FCBF} | R Documentation |
This functions runs information gain for a feature table and a class, returning the scores of information gain for all features
get_ig(x, y)
x |
A table of features (observations in rows, variables in columns) |
y |
A target vector, factor containing classes of the observations. Note: the observations must be in the same order as the parameter x. |
A dataframe containing the SU values for each feature
data(scDengue) exprs <- SummarizedExperiment::assay(scDengue, 'logcounts') discrete_expression <- as.data.frame(discretize_exprs(exprs)) infection <- SummarizedExperiment::colData(scDengue) target <- infection$infection ig_values <- get_ig(discrete_expression[,],target[]) ig_values[1:10,]