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. 2020 Feb 10;21:51. doi: 10.1186/s12859-020-3395-z

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© The Author(s). 2020

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. 6 — Leave-one-sgRNA-out comparison of sgRNA off-target efficacy prediction with auROC, auPRC, Pearson correlation coefficient, and Spearman correlation coefficient. The 29 test results were plotted as the violin plots. The two figures above show the performance comparison results in classification schema and the two figures below shows the performance comparison results in regression schema. It is worth noting that the article of DeepCrispr did not offer the detailed test results of leave-one-sgRNA-out validation, as a result we did not draw the corresponding violin plot. It is anticipated that this comparison process can further improve upon future works