Markov Properties of Graph Models and Probabilistic Inference on Bayesian Networks in Genetics

Probability propagation in trees of clusters (PPTC) is an algorithm that provides an easy method for probability inference. It uses the markov properties of graph models, and the underlying graph model is converted into a secondary structure, on which probabilities are calculated. In the present study, the authors illustrate PPTC method by computing probabilities using transition probability matrix (tpm) and using the PPTC algorithm on a simple genetic inheritance model and the results are compared.