Create data.table with input co-dilution data containing noise for testing purposes
Usage
prepareCodilutionData(
cell_lines,
drugs,
drugsIdx2 = 1,
conc = 10^(seq(-3, 1, 0.5)),
noise = 0.1
)Arguments
- cell_lines
data.table with cell line info
- drugs
data.table with drug info
- drugsIdx2
numeric vector of ids for secondary drug (in
drugsdata.table)- conc
vector of doses
- noise
number indicating level of noise
Examples
prepareCodilutionData(create_synthetic_cell_lines()[seq_len(2), ],
create_synthetic_drugs()[seq_len(4), ])
#> 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 CL00010 cellline_AA tissue_x 22 vehicle
#> 4: plate_1 CL00011 cellline_BA tissue_x 26 vehicle
#> 5: plate_1 CL00010 cellline_AA tissue_x 22 vehicle
#> ---
#> 194: plate_3 CL00011 cellline_BA tissue_x 26 G00002
#> 195: plate_3 CL00010 cellline_AA tissue_x 22 G00003
#> 196: plate_3 CL00011 cellline_BA tissue_x 26 G00003
#> 197: plate_3 CL00010 cellline_AA tissue_x 22 G00004
#> 198: plate_3 CL00011 cellline_BA tissue_x 26 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
#> ---
#> 194: drug_002 moa_A 5 G00001 drug_001 moa_A
#> 195: drug_003 moa_A 5 G00001 drug_001 moa_A
#> 196: drug_003 moa_A 5 G00001 drug_001 moa_A
#> 197: drug_004 moa_A 5 G00001 drug_001 moa_A
#> 198: drug_004 moa_A 5 G00001 drug_001 moa_A
#> Concentration_2 ReadoutValue BackgroundValue Duration
#> <num> <num> <num> <num>
#> 1: 0 101.90000 0 72
#> 2: 0 99.50000 0 72
#> 3: 0 101.60000 0 72
#> 4: 0 104.30000 0 72
#> 5: 0 104.40000 0 72
#> ---
#> 194: 5 58.68946 0 72
#> 195: 5 22.30671 0 72
#> 196: 5 48.60656 0 72
#> 197: 5 38.94302 0 72
#> 198: 5 45.96414 0 72