Priors over (k,m) configurations from PCAWG and HMF

Prior distribution of copy number and mutation multiplicity from PCAWG.

Usage

data(priors_pcawg_hmf)

Format

A data frame with 26,280 rows and 6 columns:

gene

Name of the gene (Hugo Symbol).

tumor_type

Tumor type.

k

Total copy number

m

Mutation multiplicity

N

Total number of samples

n

Number of samples per (k,m) configuration

Source

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

Examples

data(priors_pcawg_hmf)
priors_pcawg_hmf
#> # A tibble: 26,280 × 6
#> # Groups:   gene, tumor_type [730]
#>    gene  tumor_type     k     m     N     n
#>    <chr> <chr>      <int> <int> <dbl> <dbl>
#>  1 ABL1  HCC            1     1 1026.  55.7
#>  2 ABL1  HCC            2     1 1026. 481. 
#>  3 ABL1  HCC            2     2 1026.  90.6
#>  4 ABL1  HCC            3     1 1026.  87.9
#>  5 ABL1  HCC            3     2 1026.  73.0
#>  6 ABL1  HCC            3     3 1026.  38.9
#>  7 ABL1  HCC            4     1 1026.  25.1
#>  8 ABL1  HCC            4     2 1026.  42.7
#>  9 ABL1  HCC            4     3 1026.  21.7
#> 10 ABL1  HCC            4     4 1026.  16.8
#> # ℹ 26,270 more rows