Get filtered MultiDataSet object based on variability measure

Selects most highly variable features from omics datasets based on features' variability (e.g. MAD or COV).

Usage

get_filtered_dataset_variability(mo_data, var_list)

Arguments

mo_data

A MultiDataSet-class object.

var_list

A list with the result from the MAD or COV calculation for each dataset to be filtered, as returned by the select_features_mad or select_features_cov function.

Value

A MultiDataSet-class object.

Examples

if (FALSE) { # \dontrun{
# Goal: keep 20% of features in dataset1, and 50% of features in dataset2
to_keep_prop <- c("dataset1" = 0.2, "dataset_2" = 0.5)

# 1) compute MAD values and select features for dataset1 and dataset2
mad_list <- lapply(names(to_keep_prop), function(i) {
  select_features_mad(mo_data, i, to_keep_prop[i])
})

# 2) Get the filtered dataset
mo_data_filtered <- get_filtered_dataset_variability(mo_data, mad_list)
} # }