| Integrated genomic-metabolic classification of acute myeloid leukemia defines a subgroup with NPM1 and cohesin/DNA damage mutations G Simonetti, C Mengucci, A Padella, E Fonzi, G Picone, C Delpino, ... Leukemia 35 (10), 2813-2826, 2021 | 18 | 2021 |
| Food structure, function and artificial intelligence C Mengucci, P Ferranti, A Romano, P Masi, G Picone, F Capozzi Trends in Food Science & Technology 123, 251-263, 2022 | 17 | 2022 |
| Effects of Vitamin B2 Supplementation in Broilers Microbiota and Metabolome E Biagi, C Mengucci, M Barone, G Picone, A Lucchi, P Celi, G Litta, ... Microorganisms 8 (8), 1134, 2020 | 16 | 2020 |
| The NMR added value to the green foodomics perspective: Advances by machine learning to the holistic view on food and nutrition G Picone, C Mengucci, F Capozzi Magnetic Resonance in Chemistry 60 (7), 590-596, 2022 | 14 | 2022 |
| Understanding the kinetics of nutrients bioaccessibility by modelling foodomics data C Mengucci, A Bordoni, F Capozzi Current Opinion in Food Science 31, 114-120, 2020 | 12 | 2020 |
| Spotting Frozen Curd in PDO Buffalo Mozzarella Cheese Through Insights on Its Supramolecular Structure Acquired by 1H TD-NMR Relaxation Experiments C Mengucci, D Rabiti, E Urbinati, G Picone, R Romano, A Aiello, ... Applied Sciences 11 (4), 1466, 2021 | 7 | 2021 |
| K-Clique Multiomics Framework: A Novel Protocol to Decipher the Role of Gut Microbiota Communities in Nutritional Intervention Trials C Mengucci, L Nissen, G Picone, C Malpuech-Brugère, C Orfila, ... Metabolites 12 (8), 736, 2022 | 4 | 2022 |
| Unveiling the Correlation between Inadequate Energy/Macronutrient Intake and Clinical Alterations in Volunteers at Risk of Metabolic Syndrome by a Predictive Model F Danesi, C Mengucci, S Vita, A Bub, S Seifert, C Malpuech-Brugère, ... Nutrients 13 (4), 1377, 2021 | 4 | 2021 |
| Application of multi-omic features clustering and pathway enrichment to clarify the impact of vitamin B2 supplementation on broiler caeca microbiome C Mengucci, S Rampelli, G Picone, A Lucchi, G Litta, E Biagi, M Candela, ... Frontiers in Microbiology 14, 2023 | 1 | 2023 |
| PF197 A NEW CLASSIFICATION OF ACUTE MYELOID LEUKEMIA BASED ON INTEGRATED GENOMICS AND METABOLOMICS G Simonetti, A Padella, C Mengucci, E Fonzi, G Picone, M Pazzaglia, ... HemaSphere 3 (S1), 51, 2019 | 1 | 2019 |
| A take on complexity: bio-molecules and human metabolism interaction modelling for health and nutrition with machine learning C Mengucci alma, 2022 | | 2022 |
| METABOLIC STRATEGIES OF MYELOID BLAST SURVIVAL G Simonetti, C Mengucci, A Padella, E Fonzi, G Picone, C Delpino, ... HAEMATOLOGICA 107, 6-6, 2022 | | 2022 |
| WISDoM: a framework for the analysis of wishart distributed matrices for neuroinformatics C Mengucci, D Remondini, M Marrale, E Giampieri Physica Medica: European Journal of Medical Physics 92, S259-S260, 2021 | | 2021 |
| WISDoM: Characterizing Neurological Time Series With the Wishart Distribution C Mengucci, D Remondini, G Castellani, E Giampieri Frontiers in neuroinformatics 14, 611762, 2021 | | 2021 |
| Unveiling the Correlation between Inadequate Energy/Macronutrient Intake and Clinical Alterations in Volunteers at Risk of Metabolic Syndrome by a Predictive Model. Nutrients … F Danesi, C Mengucci, S Vita, A Bub, S Seifert, C Malpuech-Brugère, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| THE METABOLOMIC PROFILE DISTINGUISHES TWO SUBGROUPS OF NPM1-MUTATED ACUTE MYELOID LEUKEMIA WITH DIVERSE GENOMIC, TRANSCRIPTOMIC SIGNATURES AND TARGETED DRUG RESPONSE G Simonetti, C Mengucci, A Padella, E Fonzi, G Picone, C Delpino, ... HAEMATOLOGICA 105, S23-S23, 2020 | | 2020 |
| WISDoM: characterizing neurological timeseries with the Wishart distribution C Mengucci, D Remondini, G Castellani, E Giampieri arXiv e-prints, arXiv: 2001.10342, 2020 | | 2020 |
| INTRACELLULAR AND SYSTEMIC METABOLIC PROFILING OF ACUTE MYELOID LEUKEMIA IMPROVES GENOMIC CLASSIFICATION AND SUGGESTS NOVEL THERAPEUTIC TARGETS G Simonetti, A Padella, C Mengucci, E Fonzi, G Picone, M Pazzaglia, ... HAEMATOLOGICA 104, 51-51, 2019 | | 2019 |
| WISDoM: Wishart Distributed Matrices Multiple Order Classification. Definition and Application to fMRI Resting State Data. DE Giampieri, D Remondini, C Mengucci | | |
| Modello bayesiano per la regressione di dati troncati con applicazione a dati biologici C Mengucci | | |
