Multi-Omic Integration Tool allows integration of a metabolomic
dataset with another omic dataset acquired from the same set of samples. A differential
network is built first using the metabolomics data. Then, correlation between metabolites
and other biomolecules in the second omic data will be investigated via regularized
canonical correlation analysis (rCCA). Correlated biomolecules are mapped onto the
differential network. The resulting integrated network is used to calculate a network
activity score for each metabolite to select disease-associated metabolites.
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