Figure 2
From: BitPhylogeny: a probabilistic framework for reconstructing intra-tumor phylogenies
BitPhylogeny as a graphical model. Each of a total of N observed marker patterns is denoted by x n (shaded node). The clone membership of each observation is denoted by ε n and generated by a tree-structured stick-breaking process with variables ν ε (clone size) and φ ε (branching probability), and parameters λ, α 0 and γ. For each clone, t ε and θ ε are the branch length and clone parameter, respectively, which determine the local probability distribution of observing a marker pattern from this clone. The function pa(·) denotes the parent of each clone in the tree, except the root clone ∅. The transition probabilities p(θ ε ∣θ pa(ε)) have hyperparameters β m , β u , Λ and μ.