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. 2022 May 3;12:7151. doi: 10.1038/s41598-022-11363-w

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© The Author(s) 2022

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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t-SNE visualization of augmented tumor expression profiles derived from DeepBioGen along with the source (grey), augmented (green), and test (unseen, red) data of melanoma patients treated with anti-PD1 therapy. (a) The source and test data. (b) The source, test, and augmented data. (c) Responders of the source and test data; An empirical boundary of responders of source data (red dotted line). (d) Responders of the source, test, and augmented data. (e) Non-responders of the source and test data; An empirical boundary of non-responders of source data (red dotted line). (f) Non-responders of the source, test, and augmented data.

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