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. 2024 Jan 15;14:1306. doi: 10.1038/s41598-023-50495-5

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© The Author(s) 2024

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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Standardized importance score as a function of chronological age. We show the z-score based on the distribution of the importance scores for the neurons (features) in the last layer of the network (corresponding to the top level in the hierarchy of the ReactomeDB) with the largest change in the z-score across the chronological age. The top 3 features where the trend in the z-score is negative are displayed in (A), whereas the top 3 features where the z-score is increasing with age are shown in (B).