From a cohort object, this function extracts the tibble of
all CCF or binary data for a patient. This is just a faster
way to subset a generic call to Data.
CCF(x, p)
| x | A |
|---|---|
| p | The id of a patient in the cohort. |
Data for a custom patient.
Other Getters:
CCF_clusters(),
Clonal_cluster(),
Data(),
Drivers(),
ITransfer(),
Phylo(),
Samples(),
Subclonal(),
Truncal(),
get_features()
# Data released in the 'evoverse.datasets' data('TRACERx_NEJM_2017_REVOLVER', package = 'evoverse.datasets') CCF(TRACERx_NEJM_2017_REVOLVER, 'CRUK0002')#> # A tibble: 7 x 8 #> id variantID is.driver is.clonal cluster R1 R2 R3 #> <chr> <chr> <lgl> <lgl> <chr> <dbl> <dbl> <dbl> #> 1 __mut_id_2120 RB1 TRUE FALSE 1 0 0.92 0 #> 2 __mut_id_2151 IKZF1 TRUE FALSE 1 0 0.92 0 #> 3 __mut_id_2171 KRAS TRUE FALSE 1 0 0.93 0 #> 4 __mut_id_2173 MET TRUE TRUE 2 0.99 0.98 0.99 #> 5 __mut_id_2236 TERT TRUE TRUE 2 0.99 0.98 0.99 #> 6 __mut_id_2333 NF1 TRUE FALSE 5 0.78 0 0 #> 7 __mut_id_2351 EP300 TRUE FALSE 6 0.96 0.03 0.98CCF(TRACERx_NEJM_2017_REVOLVER, 'CRUK0008')#> # A tibble: 6 x 7 #> id variantID is.driver is.clonal cluster R1 R2 #> <chr> <chr> <lgl> <lgl> <chr> <dbl> <dbl> #> 1 __mut_id_6744 KEAP1 TRUE TRUE 2 0.99 1 #> 2 __mut_id_6746 STK11 TRUE TRUE 2 0.99 1 #> 3 __mut_id_6753 PRDM1 TRUE TRUE 2 0.99 1 #> 4 __mut_id_6861 U2AF1 TRUE TRUE 2 0.99 1 #> 5 __mut_id_6886 MYC TRUE TRUE 2 0.99 1 #> 6 __mut_id_6916 ARID2 TRUE FALSE 3 0.86 0