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. 2013 Dec 13;7(Suppl 6):S14. doi: 10.1186/1752-0509-7-S6-S14

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Copyright © 2013 Widita and Maruyama; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Metropolis-Hastings algorithm. Let f(C) be a scoring function of a state C whose optimal value is the minimum value of f. The Metropolis-Hastings algorithm generates L random samples from a probability distribution $P (C) \propto exp (- \frac{f (C)}{T})$ , where T is a parameter called temperature.