get_su_for_feature_table_and_vector {FCBF} | R Documentation |
This functions runs symmetrical uncertainty for a feature table and a class, returning the scores of symmetrical uncertainty for all features
get_su_for_feature_table_and_vector( feature_table, target_vector, samples_in_rows = FALSE, bar_of_progress = FALSE )
feature_table |
A table of features (observations in rows, variables in columns) |
target_vector |
A target vector, factor containing classes of the observations. Note: the observations must be in the same order as the parameter x. |
samples_in_rows |
A flag for the case in which samples are in rows and variables/genes in columns. Defaults to FALSE. |
bar_of_progress |
A flag to show progress. Defaults to FALSE. |
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 su_values <- get_su_for_feature_table_and_vector(discrete_expression[,],target[]) su_values[1:10,]