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. 2022 Aug 26;12:14628. doi: 10.1038/s41598-022-18874-6

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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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EpICC accurately predicts cancer subtypes. (a) Comparison of classification accuracy of BNN alone, BNN with uncertainty filtering and EpICC for cancer subtype classification. Comparison of F1 scores of the prediction made by BNN, after filtering based on mean training uncertainties of correct predictions and after applying uncertainty correction (EpICC) for (b) LGG subtypes (c) BRCA subtypes (d) ESCA subtypes (e) THCA subtypes.