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 x 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 #> # … with 306 more rows