Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models

Table 4 Summary of the number of variables used for the OnPLS models (the original and the two reduced models) and the percentages of explained total variation for the Hybrid Aspen data

Data	OnPLS models	Number of variables used	Explained total variation (%)
Transcript	Original	14,738	75.0
	Total MB-VIOP ≥ 0.5	13,127	80.1
	Total MB-VIOP ≥ 1.0	4452	85.2
Protein	Original	3132	55.0
	Total MB-VIOP ≥ 0.5	2186	67.3
	Total MB-VIOP ≥ 1.0	683	71.6
Metabolite	Original	281	58.3
	Total MB-VIOP ≥ 0.5	232	65.5
	Total MB-VIOP ≥ 1.0	81	76.2

The information has been distributed in three areas according to data block (transcriptomics, proteomics and metabolomics), and each area is divided in three rows: one for the original model, one for the reduced model using the variables with total MB-VIOP ≥ 0.5, and one for the reduced model using the variables with total MB-VIOP ≥ 1

ISSN: 1471-2105