Transform mae into raw data
Arguments
- mae
MultiAssayExperiment object with SummarizedExperiments containing "RawTreated" and "Controls" assays
Examples
mae <- gDRutils::get_synthetic_data("finalMAE_small")
convert_mae_to_raw_data(mae)
#> Loading required package: BumpyMatrix
#> Barcode Concentration ReadoutValue Gnumber DrugName drug_moa Duration
#> <char> <num> <num> <char> <char> <char> <num>
#> 1: plate_1 0 95.7 vehicle vehicle vehicle 72
#> 2: plate_1 0 100.2 vehicle vehicle vehicle 72
#> 3: plate_1 0 102.6 vehicle vehicle vehicle 72
#> 4: plate_1 0 101.6 vehicle vehicle vehicle 72
#> 5: plate_1 0 99.9 vehicle vehicle vehicle 72
#> ---
#> 3296: plate_3 10 57.7 G00011 drug_011 moa_B 72
#> 3297: plate_3 10 37.7 G00011 drug_011 moa_B 72
#> 3298: plate_3 10 28.6 G00011 drug_011 moa_B 72
#> 3299: plate_3 10 29.6 G00011 drug_011 moa_B 72
#> 3300: plate_3 10 11.0 G00011 drug_011 moa_B 72
#> clid CellLineName Tissue ReferenceDivisionTime
#> <char> <char> <char> <num>
#> 1: CL00011 cellline_BA tissue_x 26
#> 2: CL00012 cellline_CA tissue_x 30
#> 3: CL00013 cellline_DA tissue_x 34
#> 4: CL00014 cellline_EA tissue_x 38
#> 5: CL00015 cellline_FA tissue_x 42
#> ---
#> 3296: CL00016 cellline_GB tissue_y 46
#> 3297: CL00017 cellline_HB tissue_y 50
#> 3298: CL00018 cellline_IB tissue_y 54
#> 3299: CL00019 cellline_JB tissue_z 58
#> 3300: CL00020 cellline_KB tissue_z 62