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. 2017 Feb 2;7:18. doi: 10.1038/s41598-017-00050-w

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© The Author(s) 2017

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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Unsupervised clustering heatmap and ROC curves for the eight- lncRNA signature. Heatmap based on eight lncRNAs (rows) of HGS-OvCa patients (columns) in the TCGA datasets (n = 258). Red and blue indicate high and low expression levels, respectively (A). ROC curves represent the accuracy of the eight-lncRNA signature in the TCGA dataset and different subtypes (B), and ROC curves represent the accuracy of our defined signature, the lncRNA signature developed by Zhou et al., and the TCGA mRNA prognostic signature (C). True positive rate represents sensitivity, whereas false positive rate is one minus the specificity.