Artificial intelligence decision making tools in food metabolomics: Data fusion unravels synergies within the hazelnut (Corylus avellana L.) metabolome and improves quality prediction
Titel:
Artificial intelligence decision making tools in food metabolomics: Data fusion unravels synergies within the hazelnut (Corylus avellana L.) metabolome and improves quality prediction
Auteur:
Squara, Simone Caratti, Andrea Fina, Angelica Liberto, Erica Koljančić, Nemanja Špánik, Ivan Genova, Giuseppe Castello, Giuseppe Bicchi, Carlo de Villiers, André Cordero, Chiara