| Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset C Pancotti, S Benevenuta, G Birolo, V Alberini, V Repetto, T Sanavia, ... Briefings in Bioinformatics 23 (2), bbab555, 2022 | 66 | 2022 |
| An antisymmetric neural network to predict free energy changes in protein variants S Benevenuta, C Pancotti, P Fariselli, G Birolo, T Sanavia Journal of Physics D: Applied Physics 54 (24), 245403, 2021 | 44 | 2021 |
| DDGun: an untrained predictor of protein stability changes upon amino acid variants L Montanucci, E Capriotti, G Birolo, S Benevenuta, C Pancotti, D Lal, ... Nucleic Acids Research 50 (W1), W222-W227, 2022 | 30 | 2022 |
| A deep-learning sequence-based method to predict protein stability changes upon genetic variations C Pancotti, S Benevenuta, V Repetto, G Birolo, E Capriotti, T Sanavia, ... Genes 12 (6), 911, 2021 | 27 | 2021 |
| Deep learning methods to predict amyotrophic lateral sclerosis disease progression C Pancotti, G Birolo, C Rollo, T Sanavia, B Di Camillo, U Manera, A Chiò, ... Scientific reports 12 (1), 13738, 2022 | 19 | 2022 |
| Machine learning‐based prediction of in‐hospital death for patients with takotsubo syndrome: The InterTAK‐ML model O De Filippo, VL Cammann, C Pancotti, D Di Vece, A Silverio, ... European journal of heart failure 25 (12), 2299-2311, 2023 | 3 | 2023 |
| Unravelling the instability of mutational signatures extraction via archetypal analysis C Pancotti, C Rollo, G Birolo, S Benevenuta, P Fariselli, T Sanavia Frontiers in Genetics 13, 1049501, 2023 | 2 | 2023 |
| Multi-event survival prediction for amyotrophic lateral sclerosis C Pancotti, G Birolo, T Sanavia, C Rollo, P Fariselli CEUR workshop proceedings 3180, 1269-1276, 2022 | 2 | 2022 |
| Influence of model structures on predictors of protein stability changes from single-point mutations C Rollo, C Pancotti, G Birolo, I Rossi, T Sanavia, P Fariselli Genes 14 (12), 2228, 2023 | 1 | 2023 |
| SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions C Rollo, C Pancotti, G Birolo, I Rossi, T Sanavia, P Fariselli Computers in Biology and Medicine 172, 108288, 2024 | | 2024 |
| Impact of statin adherence and interruption within 6 months after ST-segment elevation myocardial infarction (STEMI): Results from the real-world regional registry FAST-STEMI F Giacobbe, G Giannino, U Annone, A Morena, U Di Vita, L Carmagnola, ... International Journal of Cardiology, 131933, 2024 | | 2024 |
| MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour type classification C Pancotti, C Rollo, G Birolo, P Fariselli, T Sanavia bioRxiv, 2023.10. 23.562664, 2023 | | 2023 |
| 1149 MACHINE-LEARNING BASED PREDICTION OF IN-HOSPITAL DEATH FOR PATIENTS WITH TAKOTSUBO SYNDROME: THE INTERTAK-ML MODEL O De Filippo, C Pancotti, VL Camman, M Bianco, S Gili, C Di Mario, ... European Heart Journal Supplements 24 (Supplement_K), suac121. 714, 2022 | | 2022 |
| Sil erio,., Schweiger, V.,… Templin, C.(2023) O Filippo, VL Cammann, C Pancotti, D Vece Machine learning-based prediction of in-hospital death for patients with …, 0 | | |
| Supplementary Materials for “Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset” C Pancotti, S Benevenuta, G Birolo, V Repetto, V Alberini, T Sanavia, ... | | |
| Unfederated Learning: A Framework for Survival Analysis with Data Distributed Across Multiple Institutions C Rollo, C Pancotti, G Birolo, I Rossi, T Sanavia, P Fariselli Available at SSRN 4257667, 0 | | |
Piero FariselliDept. of Medical Sciences, University of Torino, ItalyBestätigte E-Mail-Adresse bei unito.it
