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. 2020 Feb 19;11:951. doi: 10.1038/s41467-020-14562-z

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© The Author(s) 2020

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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Fig. 4 — a–c Results for SMC cohort. d–f Results for Roh cohort. a, d AUC (upper) and variable importance (lower) for the regression of therapeutic resistance on the exomic prediction scores when resistance was defined with neoantigen load estimated by CNN or NetMHCpan. b, e AUC (upper) and variable importance (lower) for the regression of therapeutic resistance on the known resistance parameters when resistance was defined based on neoantigen load estimated by CNN or NetMHCpan. c, f AUC (upper) and variable importance (lower) for the regression of resistance on the known resistance parameters and exomic prediction scores when resistance was defined based on neoantigen load estimated by CNN or NetMHCpan. Source data are provided as a Source Data file.