After jackknife computations via revolver_jackknife, this function extracts the trajectories stability obtained as the number of times (normalized and non) a trajectory is inferred across resamples.

Jackknife_trajectories_stability(x)

Arguments

x

A REVOLVER cohort with fits, clusters and jackknife results.

Value

A tibble.

See also

Examples

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

Jackknife_trajectories_stability(TRACERx_NEJM_2017_REVOLVER)
#> # A tibble: 316 × 4
#>    from     to    prob_resamp num_patients
#>    <chr>    <chr>       <dbl>        <dbl>
#>  1 ARHGAP35 TERT            1       0.0112
#>  2 BRAF     TERT            1       0.0112
#>  3 CCND1    UBR5            1       0.0225
#>  4 CDKN2A   CYLD            1       0.0112
#>  5 CDKN2A   PTPRC           1       0.0225
#>  6 EGFR     CIC             1       0.0112
#>  7 EP300    NF1             1       0.0225
#>  8 FANCC    CYLD            1       0.0112
#>  9 FAS      FLT4            1       0.0112
#> 10 FAT1     CYLD            1       0.0112
#> # ℹ 306 more rows