Fig. 2

Example of the sPLS tuning effect using heatmaps. (s)PLS analysis and the tuning process were performed with two microbiomics datasets (ITS and 16S). A Result of the (s)PLS analysis using the two mixMC pre-processed, PLS-DA-filtered and within the PLS analysis standardized datasets, ITS (119 features) as dataset X of the analysis and 16S (40 features) as dataset Y. The analysis was performed using canonical mode and four components. The heatmap visualizes the correlations between the features of the two datasets. B Result of the (s)PLS analysis after the tuning process, which reduced the ITS dataset down to 10 features and the 16S dataset to 25 features. Additionally, the ideal number of components is 1. The heatmap shows the correlations between the features of the two reduced datasets. Note: Feature names were removed from the heatmaps