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. 2018 Jun 13;8:9049. doi: 10.1038/s41598-018-27177-8

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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AUC among m-NGSG, HMMER and PSI-BLAST with best scoring MCC value. The left panel indicates the receiver operating characteristics of m-NGSG-based models. The right panel indicates the comparison of AUC among m-NGSG, PSI-BLAST, and HMMER for the corresponding function-based model. The height of each bar represents the AUC for each method. m-NGSG-based models demonstrates better AUC than PSI-BLAST and HMMER.