Simple demo patient information dataset. The information is related to the organoids present in the 'drugScreening' dataset.

data(patientInfo)

Format

a data.frame with the following columns:

  • organoid_id a character string representing the organoid identifier.

  • patient_id a character string representing the patient identifier.

See also

  • getClassOneDrug for selecting the samples with sensitive and resistant behavior for a specific drug screening dataset.

  • selectNoReplicateOrganoids for selecting the unrelated samples (only one sample per patient) from a drug screening dataset.

  • fisherCategoricalVariable for running Fisher tests in the sensitive and resistant groups using a categorical value from a drug screening dataset.

Examples


## Load drug screen dataset for 1 drug
data(drugScreening)

## Load patient information dataset for 1 drug
data(patientInfo)

## Select unrelated organoids in the drug screening
results <- selectNoReplicateOrganoids(drugScreening=drugScreening,
    patientInfo=patientInfo)

## The drug screen dataset has been filtered
results
#>        organoid_id Column1  plate passage_number timestamp      study
#> hT1001      hT1001       3 Plate1            P16  2/2/1988  MEGA-TEST
#> hT102        hT102       4 Plate1            P14  2/2/1994  MEGA-TEST
#> hT1051      hT1051       5 Plate1            P11  1/1/1970  MEGA-TEST
#> hT192        hT192       3 Plate1            P11  2/2/1994  MEGA-TEST
#> hT2211      hT2211       5 Plate1            P14  1/1/1970  MEGA-TEST
#> hT2212      hT2212       3 Plate1            P29  1/1/1970  MEGA-TEST
#> hT2213      hT2213       3 Plate2            P12  1/1/1970  MEGA-TEST
#> hT2251      hT2251       3 Plate1            P13  1/1/1970 SUPER-TEST
#> hT322        hT322       3 Plate1            P11  1/1/2022  MEGA-TEST
#> hT999        hT999       3 Plate1             P9  2/2/1994  MEGA-TEST
#>        screen_type   z_prime       drug_a   drug_b drug_c drug_background
#> hT1001     TEST-01 0.2732018 Methotrexate      N/A    N/A             N/A
#> hT102      TEST-01 0.2882018 Methotrexate      N/A    N/A             N/A
#> hT1051     TEST-01 0.2500374     Abraxane      N/A    N/A             N/A
#> hT192      TEST-01 0.2120181 Methotrexate      N/A    N/A             N/A
#> hT2211     TEST-01 0.0728753 Methotrexate      N/A    N/A             N/A
#> hT2212     TEST-01 0.0733353 Methotrexate Abraxane    N/A             N/A
#> hT2213     TEST-02 0.0718753 Methotrexate      N/A    N/A             N/A
#> hT2251     TEST-01 0.2500374 Methotrexate      N/A    N/A             N/A
#> hT322      TEST-01 0.4219293 Methotrexate      N/A    N/A             N/A
#> hT999      TEST-01 0.5520181 Methotrexate      N/A    N/A             N/A
#>        dosage_type dosage_concentration_a dosage_concentration_b
#> hT1001    Averaged             -1.3027707                      0
#> hT102     Averaged              1.4663183                      0
#> hT1051    Averaged              0.8343696                      0
#> hT192     Averaged             -1.2100130                      0
#> hT2211    Averaged             -0.1481304                      0
#> hT2212    Averaged             -1.2222200                      0
#> hT2213    Averaged             -1.3316204                      0
#> hT2251    Averaged             -2.2481304                      0
#> hT322     Averaged             -0.7335800                      0
#> hT999     Averaged             -0.1231304                      0
#>        dosage_concentration_c dosage_concentration_background percent_viability
#> hT1001                      0                               0         75.732264
#> hT102                       0                               0         19.945501
#> hT1051                      0                               0         42.368545
#> hT192                       0                               0         79.322142
#> hT2211                      0                               0         80.904988
#> hT2212                      0                               0          8.620515
#> hT2213                      0                               0         85.624298
#> hT2251                      0                               0         75.598561
#> hT322                       0                               0         97.336119
#> hT999                       0                               0         97.664067
#>              ic50       auc relative_auc  patient_id
#> hT1001  1.0722432 218.00535    52.610445 Patient_001
#> hT102   1.0002432 201.00535    46.110445 Patient_008
#> hT1051  0.8666430 243.22110    73.212120 Patient_002
#> hT192   0.9002432 187.00535    33.110445 Patient_009
#> hT2211  1.1417485 222.00729    53.576219 Patient_003
#> hT2212  0.7444589  49.99956     6.330331 Patient_004
#> hT2213  0.8162142 242.36746    71.676280 Patient_005
#> hT2251  1.5223589 248.88756    63.380332 Patient_006
#> hT322  14.1157419 931.14714    55.223002 Patient_007
#> hT999   0.9880232 287.00535    97.312221 Patient_010