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. 2019 Nov 7;20:823. doi: 10.1186/s12864-019-6142-y

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© The Author(s). 2019

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 evaluation of pCpGs using the discovery dataset. (a) Heatmap showing breast cancer subtypes classified using pCpGs. (b) Purity of clusters obtained from hierarchical clustering using pCpGs. (c) PCA plot coupled with support vector machine in clustering breast cancer samples based on pCpGs. (d) Kaplan Meier survival curves stratified by pCpGs