Priors from PCAWG

Prior distribution of copy number and mutation multiplicity from PCAWG.

Usage

data(pcawg_priors)

Format

A data frame with 4466 rows and 4 columns:

gene

Name of the gene (Hugo Symbol).

tumor_type

Tumor type.

label

INCOMMON class (N (Mutated: N)).

p

Gene and tumor type specific prior probability.

Source

Validated copy number calls from PCAWG: https://doi.org/10.5281/zenodo.6410935

Examples

data(pcawg_priors)
pcawg_priors
#> # A tibble: 4,466 × 4
#>    gene  tumor_type label                 p
#>    <chr> <chr>      <chr>             <dbl>
#>  1 ALB   HCC        1N (Mutated: 1N) 0.151 
#>  2 ALB   HCC        2N (Mutated: 1N) 0.593 
#>  3 ALB   HCC        2N (Mutated: 2N) 0.0474
#>  4 ALB   HCC        3N (Mutated: 1N) 0.0727
#>  5 ALB   HCC        3N (Mutated: 2N) 0.0485
#>  6 ALB   HCC        4N (Mutated: 1N) 0.0198
#>  7 ALB   HCC        4N (Mutated: 2N) 0.0683
#>  8 APOB  HCC        1N (Mutated: 1N) 0.151 
#>  9 APOB  HCC        2N (Mutated: 1N) 0.593 
#> 10 APOB  HCC        2N (Mutated: 2N) 0.0474
#> # ℹ 4,456 more rows