Summary statistics for the cohort's driver events.

Returns the number of clonal and subclonal occurrences of the drivers in the cohort, and their percentage relative to the cohort size. The function can be run on a subset of drivers.

Stats_drivers(x, drivers = x$variantIDs.driver)

Arguments

x	A REVOLVER cohort.
drivers	The drivers for which the summaries are computed.

Value

A tibble with the driver stastics.

See also

Other Summary statistics: DET_index(), Stats_cohort(), Stats_fits(), Stats_trees(), Stats()

Examples

# Data released in the 'evoverse.datasets'
data('TRACERx_NEJM_2017_REVOLVER', package = 'evoverse.datasets')

# Get the stats for all patients
Stats_drivers(TRACERx_NEJM_2017_REVOLVER)
#> # A tibble: 79 x 7
#>    variantID numClonal p_clonal numSubclonal p_subclonal N_tot  p_tot
#>    <chr>         <dbl>    <dbl>        <dbl>       <dbl> <dbl>  <dbl>
#>  1 TP53             53   0.535             3      0.0303    56 0.566 
#>  2 KRAS             24   0.242             4      0.0404    28 0.283 
#>  3 EGFR             21   0.212             1      0.0101    22 0.222 
#>  4 PIK3CA           20   0.202             1      0.0101    21 0.212 
#>  5 CDKN2A           14   0.141             0      0         14 0.141 
#>  6 SOX2             14   0.141             0      0         14 0.141 
#>  7 KEAP1            12   0.121             0      0         12 0.121 
#>  8 TERT             11   0.111             2      0.0202    13 0.131 
#>  9 FGFR1             9   0.0909            0      0          9 0.0909
#> 10 STK11             8   0.0808            0      0          8 0.0808
#> # … with 69 more rows

# And subset the patients
Stats_drivers(TRACERx_NEJM_2017_REVOLVER, drivers = c('TP53', 'KRAS'))
#> # A tibble: 2 x 7
#>   variantID numClonal p_clonal numSubclonal p_subclonal N_tot p_tot
#>   <chr>         <dbl>    <dbl>        <dbl>       <dbl> <dbl> <dbl>
#> 1 TP53             53    0.535            3      0.0303    56 0.566
#> 2 KRAS             24    0.242            4      0.0404    28 0.283