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. 2019 Dec 24;20(Suppl 25):700. doi: 10.1186/s12859-019-3275-6

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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. 6 — Comparison of the overall success rate between our method and one-hot encoding on Dataset 1 and Dataset 2. The x-axis represents the number of dimensions reduced by the autoencoder. The y-axis represents the overall success rate. a and b show the results of the validation set and testing set on Dataset 1; c and d show the results on Dataset 2