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. 2022 Feb 1;13:617. doi: 10.1038/s41467-021-26642-9

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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 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. 2 — Flow Diagram for MNALCI (a). ROC curves with the best accuracy of the GNS-assisted SVM model, SiNW-assisted SVM model and the fusion model for distinguishing patients from healthy controls in the training cohort (b), internal validation cohort (d) and external validation cohort (f). Confusion matrix summarizing the cancer classification results in the training cohort (c), internal validation cohort (e) and external validation cohort (g) using the fusion model.