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. 2021 Nov 11;11:22119. doi: 10.1038/s41598-021-01652-1

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© The Author(s) 2021

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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QC-SVRC correction eliminates within batch effect and improves data quality increasing the percentage of metabolites retained after data pre-processing. Results from ESI+ (a) and ESI− (b). PCA of the QC samples before (i) and after (ii) QC-SVR correction. Plots show the run order versus PC1, PC2 or PC3 and each dot represents a QC sample. The percentage of variance in each component is shown (% variance) (i, ii). Cumulative distribution functions of the D-ratio_QC % in the original dataset and after QC-SVRC (iii). Percentage of variables showing a D-ratio_QC < 20% in batches with different number of injections (iv).