Merge multiple MultiAssayExperiment objects

Usage

merge_MAE(
  MAElist,
  additional_col_name = "data_source",
  discard_keys = c("normalization_type", "fit_source", "record_id", "isDay0", "swap_sa",
    "control_type", "iso_level", "conc_1", "conc_2")
)

Arguments

MAElist: Named list of MultiAssayExperiment objects.
additional_col_name: String with the name of the column that will be added to assay data for the distinction of possible duplicated metrics that can arise from multiple projects.
discard_keys: Character vector of strings that will be discarded during creating BumpyMatrix object.

Value

Merged MultiAssayExperiment object.

Examples

mae1 <- get_synthetic_data("finalMAE_combo_2dose_nonoise")
mae2 <- get_synthetic_data("finalMAE_combo_2dose_nonoise")
merge_MAE(list(mae1 = mae1, mae2 = mae2))
#> A MultiAssayExperiment object of 2 listed
#>  experiments with user-defined names and respective classes.
#>  Containing an ExperimentList class object of length 2:
#>  [1] combination: SummarizedExperiment with 3 rows and 3 columns
#>  [2] single-agent: SummarizedExperiment with 4 rows and 3 columns
#> Functionality:
#>  experiments() - obtain the ExperimentList instance
#>  colData() - the primary/phenotype DataFrame
#>  sampleMap() - the sample coordination DataFrame
#>  `$`, `[`, `[[` - extract colData columns, subset, or experiment
#>  *Format() - convert into a long or wide DataFrame
#>  assays() - convert ExperimentList to a SimpleList of matrices
#>  exportClass() - save data to flat files