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. 2023 Nov 6;10:1258902. doi: 10.3389/fmolb.2023.1258902

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Copyright © 2023 Martin-Hernandez, Espeso-Gil, Domingo, Latorre, Hervas, Hernandez Mora and Kotelnikova.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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(A) 3D samples plots for RNA-Seq, micro RNA and DNA methylation data. For each OMICs dataset, samples are projected into the space spanned by the three components explaining most of the variance. Disease stage is represented with different colors. (B). Circos plot representing correlations among features from different data types. Only variables with absolute correlations higher than 0.75 are shown. Outer lines represent the expression levels for each variable from the two different stage groups. (C). Clustered heatmap using variables included in the component 1 from the multiblock sPLS-DA model. Samples are represented in rows, and features from different data type are represented in columns. Euclidean distance and Complete linkage methods are used for clustering. The standardized abundance level is shown by the color key.