Stratification of Admixture Population: A Bayesian Approach
کد مقاله : 1179-CFIS (R1)
نویسندگان:
مهرداد تمیجی1، سید محمود طاهری *1، سید ابوالفضل مطهری2
1دانشگاه تهران
2دانشگاه صنعتی شریف
چکیده مقاله:
A statistical algorithm is introduced to improve the false inference of active loci, in the population in which members are admixture. The algorithm uses an advanced clustering algorithm based on a Bayesian approach. The proposed algorithm simultaneously infers the hidden structure of the population. In this regard, the Monte Carlo Markov Chain (MCMC) algorithm has been used to evaluate the posterior probability distribution of the model parameters. The proposed algorithm is implemented in a bundle, and then its performance is widely evaluated in a number of artificial databases. The accuracy of the clustering algorithm is compared with the STRUCTURE method based on certain criterion.
کلیدواژه ها:
Population Stratification, Probabilistic Graphical Model, Bioinformatics, Admixture Populations
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