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. 2017 Mar 29;19:44. doi: 10.1186/s13058-017-0812-y

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© The Author(s). 2017

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 — Correlation between cluster-of-clusters analysis (COCA) clusters and molecular input levels. Pearson correlation coefficient (y-axis) calculated between each molecular subtype level and each COCA cluster (x-axis) by coding membership to a cluster as 1 and 0 otherwise. Each panel represents one molecular input level to the COCA analysis. RPPA reverse-phase protein array, CAAI complex arm aberration index, PARADIGM pathway recognition algorithm using data integration on genomic models, IntClust integrated clusters, HER2 human epidermal growth factor receptor 2, Lum luminal