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Generation of Bayesian network for prediction of abstinence. SNPs are first sorted based on nominal P value, and SNPs with the 5 to 1,000 lowest P values are used. Networks are generated from real data using the Markov Chain Monte Carlo methods using the BayesWare factor.
