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. 2019 Feb 8;20:69. doi: 10.1186/s12859-019-2664-1

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© The Author(s). 2019

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. 2 — Benchmark performance of models. Prediction performance comparison in three benchmark schemes in terms of Area Under Receiving Operation Curve (AUROC, Top) and Area Under Precision Recall Curve (AUPRC, Bottom). Error bars are calculated from cross-validation (LR: Logistic Regression; GBM: Gradient Boosting Machine; RF: Random Forest; MF: Matrix Factorization; BTF: Bayesian Tensor Factorization)