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. 2018 Oct 8;8:14924. doi: 10.1038/s41598-018-32682-x

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Supervised learning with survival times based on PRECISE scores. (a) Radar plot for p-values for PRECISE statuses (suppressed, neutral, or activated) using log-rank test for survival times. (b) Heatmap for p-values (high-to-low) with FDR < 0.1 across all 17 cancer types that provides p-values with FDR < 0.1 for at least one pathway and all the pathways, and three different methods, PRECISE, naïve and native. (c) The number of discoveries for the three different methods according to various FDR cutoffs.