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. 2014 Jun 23;9(6):e100295. doi: 10.1371/journal.pone.0100295

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© 2014 Seifert et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Comparison of the AR()-HMM() and related methods with respect to the identification of overexpressed genes with at least three-fold increased copy numbers based on breast cancer data from [3]. The performance of each method is quantified by a receiver operating characteristic (ROC) curve displaying the true positive rate (TPR) reached at different levels of false positive rates (FPR). The AR()-HMM() with a fourth-order autoregressive emission process and a second-order state-transition process reaches the best performance (red).

Inline graphic — Comparison of the AR()-HMM() and related methods with respect to the identification of overexpressed genes with at least three-fold increased copy numbers based on breast cancer data from [3]. The performance of each method is quantified by a receiver operating characteristic (ROC) curve displaying the true positive rate (TPR) reached at different levels of false positive rates (FPR). The AR()-HMM() with a fourth-order autoregressive emission process and a second-order state-transition process reaches the best performance (red).