Fig. 3

Showcase of DIABLO tuning effect using Circos plots. Usage of the DIABLO analysis and tuning process with a metabolomics, a transcriptomics and two microbiomics datasets (16S and ITS). A Result of the DIABLO analysis using the four untuned, PLS-DA-filtered and within the DIABLO analyzes standardized datasets, metabolomics (23 features), transcriptomics (16 features), 16S (40 features) and ITS (119 features), and nine components. The Circos plot shows the correlations between the features of the four untuned datasets using an absolute cutoff value of 0.8. B Result of the DIABLO analysis after the tuning process, which reduced the metabolomics dataset to 10 features, transcriptomics to 10 features, 16S to 10 features and ITS to 50 features. Additionally, the ideal number of components is 1. The Circos plot shows the correlations between the features of the four reduced datasets using an absolute cutoff value of 0.8