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. 2017 Mar 16;10:16. doi: 10.1186/s12920-017-0253-6

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© The Author(s) 2017

Open Access This 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. 4 — A simple decision tree for distinguishing AML from MDS cases. If the normalized extracellular matrix eigengene of a case is less than -0.001, it is classified as AML. Otherwise, the HOXA&B eigengene determines whether the case is AML (>−0.004) or MDS (≤−0.004). The number of cases classified in each leaf is noted for both the MILE (left) and the BCCA (right) datasets. Only the middle leaf corresponds to MDS. At the fixed thresholds shown above, this tree correctly classified 328 cases (90%) in the MILE dataset (the training set) and 71 cases (96%) in the BCCA dataset (the test set)