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. 2017 Mar 14;11(Suppl 2):7. doi: 10.1186/s12918-017-0389-1

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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. 1 — The schematic of kmerForest model. Bootstrapped samples are trained with a random forest. Then out-of-bag samples are classified with the trained model to obtain the MDA score of each k-mer. All the MDA score will be sorted as the k-mer importance