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. 2024 Apr 24;9(6):1513–1525. doi: 10.1038/s41564-024-01678-x

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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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Extended Data Fig. 2 — For a) ACS, and b) GC6, LASSO (Least Absolute Shrinkage and Selection Operator) regularization was applied to 100 randomly selected subsets, each containing 80% of the full dataset, and iterated 10 times. The frequency of selection of each antibody feature is shown. Red lines indicate the threshold defining the features that were evaluated in combination for each SeroScore.

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