A Stochastic Markov Chain Model to Describe Lung Cancer Growth and Metastasis
Figure 2
Metastatic distributions from autopsy data set extracted from 3827 patients [6].
Y-axis in each graph represents a proportion between 0 and 1. The sum of all the heights is 1. These are the two key probability distributions used to ‘train’ our lung cancer progression model. (a) Overall metastatic distribution including all primaries. We call this distribution the ‘generic’ distribution as it includes all primary cancer types.; (b) Distribution of metastases associated with primary lung cancer. We call this distribution the ‘target’ distribution that we label