The metabolic twin model of yeast

ICA is an important alternative to classical statistical approaches for non-targeted metabolomics data. It extends the concept of regular correlation (e.g. in PCA, ASCA and PLS-DA) to statistical dependance by capturing higher order dependencies. However, its algorithm instability (output variations between different algorithm runs) and the biol…