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. 2022 Feb 24;10:25. doi: 10.1186/s40478-022-01326-7

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© The Author(s) 2022

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — Sparse partial least-squares discriminant analysis. A sPLS-DA consensus plot for the combination of the three datasets showing complete discrimination of the 30 CSF samples (24 medulloblastoma and six normal samples). B The individual contribution of each dataset to the sPLS-DA final model, in each case showing the score plots for the two first components, indicating the best separation capability for transcriptome data followed by metabolome and lipidome data. C Selected features shown in pyramid bar plot. Loading plot represents the top 19 RNAs, 28 metabolites, and 16 lipids contributing to group separation. D Sample scatterplot from plotDiablo displaying the first component in each dataset (upper diagonal plot) and Pearson correlation between each component (lower diagonal plot). E Clustered image map (Euclidean distance, complete linkage) of the multi-omics signature based on the 54 multi-omics signature identified on the first component. Samples are represented in rows, selected features on the first component in columns. F The Circos plot (cut off: 0.7) shows positive or negative correlations denoted as red and blue lines, respectively