Dirichlet Diffusion Tree

Probabilistic Learning of Treatment Trees in Cancer
In this paper, we propose a novel Bayesian probabilistic tree-based framework, which motivates a new metric of mechanistic similarity between two or more treatments.
Tsung-Hung Yao, Zhenke Wu, Karthik Bharath, Jinju Li, Veerabhadran Baladandayuthapan
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Probabilistic Learning of Treatment Trees in Cancer