Phenotype Classification of Intact Cells by NMR Spectroscopy through Machine Learning Approaches
Article Details
Journal Info
Journal of the American Chemical Society
American Chemical Society
Authors (9)
Carlo Mengucci
Department of Agri-Food Science and Technology, University of Bologna, Piazza Goidanich 60, Cesena 47521, Italy
Claudia Dell'Amico
Department of Biology, University of Pisa, via Luca Ghini 13, Pisa 56126, Italy
Simona Del Giudice
Magnetic Resonance Center − CERM, University of Florence, via Luigi Sacconi 6, Sesto Fiorentino 50019, Italy
Letizia Barbieri
Interuniversity Consortium for Magnetic Resonance of Metalloproteins − CIRMMP, via Luigi Sacconi 6, Sesto Fiorentino 50019, Italy
Alice Mariottini
Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, Florence 50139, Italy
Marco Onorati
Department of Biology, University of Pisa, via Luca Ghini 13, Pisa 56126, Italy
Luca Massacesi
Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, viale Pieraccini 6, Florence 50139, Italy
Enrico Luchinat
Magnetic Resonance Center − CERM, University of Florence, via Luigi Sacconi 6, Sesto Fiorentino 50019, Italy
Lucia Banci