Artificial intelligence decision making tools in food metabolomics: Data fusion unravels synergies within the hazelnut (Corylus avellana L.) metabolome and improves quality prediction
Simone Squara(University of Turin), Chiara Cordero(University of Turin), Ivan Špánik(Slovak University of Technology in Bratislava), André de Villiers, Angelica Fina(University of Turin), Erica Liberto(University of Turin), Andrea Caratti(University of Turin), Nemanja Koljančić, Giuseppe Genova, Giuseppe Castello(Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"), Carlo Bicchi(University of Turin)
Cited by 13
Related Papers
Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies
|Molecular Nutrition & Food Research|2018|238
Human Melanoma Metastases Express Functional CXCR4
|Clinical Cancer Research|2006|131
Boosting comprehensive two-dimensional chromatography with artificial intelligence: Application to food-omics
|TrAC Trends in Analytical Chemistry|2024|42