knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(mobster) library(tidyr) library(dplyr)
Population Genetics statistics can be extracted from a MOBSTER model.
data('fit_example', package = 'mobster') print(fit_example$best) evolutionary_parameters(fit_example)
The mutation rate mu
(cell division units) scaled by the probability of lineage survival $\beta$, $\mu/\beta$, is given by:
[
\mu/\beta = \dfrac{M} {(\frac{1}{f_\text{min}} - \frac{1}{f_\text{max}})}
]
Where $f_\text{min}$ is the minimum VAF and $f_\text{max}$ is the maximum, and
$M$ is the number of mutations between $f_\text{min}$ and $f_\text{max}$.
Selection is defined as the relative growth rates of host tumour cell populations ($\lambda h$) vs subclone ($\lambda s$): [ 1+s= \dfrac{\lambda h}{ \lambda s} ]
The mathematical details of these computations are described in the main paper, and baesd on the population genetics model of tumour evolutionin Williams et al. 2016 and 2018 (Nature Genetics).
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