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. 2016 Sep 15;16:736. doi: 10.1186/s12885-016-2771-6

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© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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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Fig. 3 — Performance of a gene-expression based supervised predictor in classifying prognosis. ROC curve illustratrating the performance of a gene-expression based supervised classifier in correctly predicting the prognostic group (good or poor prognosis) to which each patient belongs, over 10 rounds of cross-validation. The classifier was determined using Prediction of Microarray (PAM) analysis, and was limited to 100 genes, which were differentially expressed between good and poor prognosis patients