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. 2015 Dec 2;20:95. doi: 10.1186/s40001-015-0183-8

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© Hu et al. 2015

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 — Receiver operating characteristics (ROC) curve analysis using miR-4299 and miR-196b for discriminating chemoresistance of colon tumors. miR-4299 yielded an AUC (the areas under the ROC curve) of 0.810 (95 % CI 0.704–0.917) with 75.0 % sensitivity and 88.6 % specificity in discriminating non-responder (a), and miR-196b yielded AUC of 0.726 for miR-196b (95 % CI 0.597–0.856) with 71.4 % sensitivity and 77.3 % specificity in discriminating non-responder (b). Combined ROC analyses revealed an elevated AUC of 0.877 (95 % CI 0.793–0.962) with 71.4 % sensitivity and 95.5 % specificity in discriminating non-responder (c)