Enrico Genco

Oct 19, 2023 | onlinelibrary.wiley.com | Enrico Genco |Francesco Modena |Lucia Sarcina |Dipartimento di Chimica

Francesco Modena Center for Nano Science and Technology, Istituto Italiano di Tecnologia, Via Rubattino 81, Milan, 20134 Italy Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133 ItalySearch for more papers by this author

Jul 15, 2023 | onlinelibrary.wiley.com | Enrico Genco |Francesco Modena |Lucia Sarcina |Dipartimento di Chimica

Multivariate Data Processing An exploratory multivariate data processing based on principal component analysis (PCA) was undertaken to analyze the whole SiMBiT data set. PCA provides, for all three markers, an orthogonal set of principal components (PCs) described as a linear combination of each feature F1, F2, and F3), weighted by the eigenvalues of the loading matrix. The scores are the overall summed value for each PC.