Create data.table with input combination data containing noise for testing purposes
Arguments
- cell_lines
data.table with cell line info
- drugs
data.table with drug info
- drugsIdx1
numeric vector of ids for primary drug
- drugsIdx2
numeric vector of ids for secondary drug
- concentration
numeric vector of doses
- noise
number indicating level of noise
- modifyDf2
Boolean indicating if the table should me modified to keep reverse single agent data
Examples
prepareComboMergedData(create_synthetic_cell_lines(), create_synthetic_drugs())
#> Barcode clid CellLineName Tissue ReferenceDivisionTime Gnumber
#> <char> <char> <char> <char> <num> <char>
#> 1: plate_1 CL00010 cellline_AA tissue_x 22 vehicle
#> 2: plate_1 CL00011 cellline_BA tissue_x 26 vehicle
#> 3: plate_1 CL00012 cellline_CA tissue_x 30 vehicle
#> 4: plate_1 CL00013 cellline_DA tissue_x 34 vehicle
#> 5: plate_1 CL00014 cellline_EA tissue_x 38 vehicle
#> ---
#> 26726: plate_3 CL00095 cellline_KO tissue_z 62 G00004
#> 26727: plate_3 CL00096 cellline_LO tissue_z 66 G00004
#> 26728: plate_3 CL00097 cellline_MO tissue_z 70 G00004
#> 26729: plate_3 CL00098 cellline_NO tissue_z 74 G00004
#> 26730: plate_3 CL00099 cellline_OO tissue_z 78 G00004
#> DrugName drug_moa Concentration Gnumber_2 DrugName_2 drug_moa_2
#> <char> <char> <num> <char> <char> <char>
#> 1: vehicle vehicle 0 vehicle vehicle vehicle
#> 2: vehicle vehicle 0 vehicle vehicle vehicle
#> 3: vehicle vehicle 0 vehicle vehicle vehicle
#> 4: vehicle vehicle 0 vehicle vehicle vehicle
#> 5: vehicle vehicle 0 vehicle vehicle vehicle
#> ---
#> 26726: drug_004 moa_A 10 G00026 drug_026 moa_E
#> 26727: drug_004 moa_A 10 G00026 drug_026 moa_E
#> 26728: drug_004 moa_A 10 G00026 drug_026 moa_E
#> 26729: drug_004 moa_A 10 G00026 drug_026 moa_E
#> 26730: drug_004 moa_A 10 G00026 drug_026 moa_E
#> Concentration_2 ReadoutValue BackgroundValue Duration
#> <num> <num> <num> <num>
#> 1: 0 99.900000 0 72
#> 2: 0 99.800000 0 72
#> 3: 0 103.100000 0 72
#> 4: 0 97.800000 0 72
#> 5: 0 104.700000 0 72
#> ---
#> 26726: 1 3.301784 0 72
#> 26727: 1 8.842755 0 72
#> 26728: 1 2.313932 0 72
#> 26729: 1 10.121007 0 72
#> 26730: 1 25.243907 0 72