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. 2015 Nov 20;8:78. doi: 10.1186/s12920-015-0154-5

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© Ren 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. 2 — Heatmaps of patient similarity on simplistic simulation datasets. Patient similarity was measured by Pearson correlation coefficients. A, results on SD1 (issue of scales); B, results on SD2 (issue of noise types); C, results on SD3 (issue of noise sizes); D, results on SD4 (issue of incomplete patient relationships); E, results on SD5 (issue of conflict patient relationships). iBFE₁: integration by using both Pearson and Spearman correlation coefficients; iBFE₂: integration by using only Pearson correlation coefficients; iBFE₃: integration by using only Spearman correlation coefficients