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. 2018 Jun 7;10:76. doi: 10.1186/s13148-018-0509-9

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© The Author(s). 2018

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 — ROC curve analysis of HPV16/18 genotyping and the 2-miRNA classifier for the detection of CIN3. Results obtained from scrapes with known HPV16/18 genotyping results (65 normal, 108 CIN3) were used to build classifiers for HPV16/18 genotyping (HPV), a new 2-miRNA classifier (miR-15b/375) and the 2-miRNA classifier combined with HPV16/18 genotyping (miR-15b/375/HPV). Classifiers were validated by leave-one-out cross-validation. The model miR-15b/375/HPV is significantly better than the 2-miRNA classifier (p = 0.011)