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. 2019 Apr 23;20:306. doi: 10.1186/s12864-019-5654-9

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© The Author(s) 2019

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. 11 — The AUCs of different feature extraction methods in the HepG2 dataset. RF Ours uses ours features to train the RF model. RF Deep uses DeepCpG features to train the RF model. RF Zhang uses Zhang’s features to train the RF model