PANCOTTI, CORRADO
PANCOTTI, CORRADO
SCIENZE MEDICHE
1149 MACHINE-LEARNING BASED PREDICTION OF IN-HOSPITAL DEATH FOR PATIENTS WITH TAKOTSUBO SYNDROME: THE INTERTAK-ML MODEL
2022-01-01 De Filippo, Ovidio; Pancotti, Corrado; Camman, Victoria Lucia; Bianco, Matteo; Gili, Sebastiano; Di Mario, Carlo; Luescher, Thomas; Crea, Filippo; Templin, Christian; De Ferrari, Gaetano Maria; D´ascenzo, Fabrizio
A deep-learning sequence-based method to predict protein stability changes upon genetic variations
2021-01-01 Pancotti C.; Benevenuta S.; Repetto V.; Birolo G.; Capriotti E.; Sanavia T.; Fariselli P.
ACDC-NN: a deep learning predictor of protein stability change upon mutation.
2021-01-01 Benevenuta S, Pancotti C, Fariselli P, Birolo G, SANAVIA T
An antisymmetric neural network to predict free energy changes in protein variants
2021-01-01 Benevenuta S.; Pancotti C.; Fariselli P.; Birolo G.; Sanavia T.
DDGun: an untrained predictor of protein stability changes upon amino acid variants
2022-01-01 Montanucci L.; Capriotti E.; Birolo G.; Benevenuta S.; Pancotti C.; Lal D.; Fariselli P.
Deep learning methods to predict amyotrophic lateral sclerosis disease progression
2022-01-01 Pancotti C.; Birolo G.; Rollo C.; Sanavia T.; Di Camillo B.; Manera U.; Chio A.; Fariselli P.
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
2024-01-01 Giacobbe, Federico; Giannino, Giuseppe; Annone, Umberto; Morena, Arianna; Di Vita, Umberto; Carmagnola, Ludovica; Nebiolo, Marco; Rollo, Cesare; Ravetti, Emanuele; Troncone, Mattia; Pancotti, Corrado; De Filippo, Ovidio; Bruno, Francesco; Angelini, Filippo; Gaido, Luca; Fariselli, Piero; D'Ascenzo, Fabrizio; Giammaria, Massimo; De Ferrari, Gaetano Maria
Influence of Model Structures on Predictors of Protein Stability Changes from Single-Point Mutations
2023-01-01 Rollo, Cesare; Pancotti, Corrado; Birolo, Giovanni; Rossi, Ivan; Sanavia, Tiziana; Fariselli, Piero
Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis
2022-01-01 Corrado Pancotti, Giovanni Birolo, Tiziana Sanavia, Cesare Rollo, Piero Fariselli
MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classification
2024-01-01 Pancotti, Corrado; Rollo, Cesare; Codice, Francesco; Birolo, Giovanni; Fariselli, Piero; Sanavia, Tiziana
Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset
2022-01-01 Pancotti, Corrado; Benevenuta, Silvia; Birolo, Giovanni; Alberini, Virginia; Repetto, Valeria; Sanavia, Tiziana; Capriotti, Emidio; Fariselli, Piero
SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions
2024-01-01 Rollo, Cesare; Pancotti, Corrado; Birolo, Giovanni; Rossi, Ivan; Sanavia, Tiziana; Fariselli, Piero
Unravelling the instability of mutational signatures extraction via archetypal analysis
2023-01-01 Pancotti C.; Rollo C.; Birolo G.; Benevenuta S.; Fariselli P.; Sanavia T.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 1149 MACHINE-LEARNING BASED PREDICTION OF IN-HOSPITAL DEATH FOR PATIENTS WITH TAKOTSUBO SYNDROME: THE INTERTAK-ML MODEL | 2022 | De Filippo, Ovidio; Pancotti, Corrado; Camman, Victoria Lucia; Bianco, Matteo; Gili, Sebastiano; Di Mario, Carlo; Luescher, Thomas; Crea, Filippo; Templin, Christian; De Ferrari, Gaetano Maria; D´ascenzo, Fabrizio | |
| A deep-learning sequence-based method to predict protein stability changes upon genetic variations | 2021 | Pancotti C.; Benevenuta S.; Repetto V.; Birolo G.; Capriotti E.; Sanavia T.; Fariselli P. | |
| ACDC-NN: a deep learning predictor of protein stability change upon mutation. | 2021 | Benevenuta S, Pancotti C, Fariselli P, Birolo G, SANAVIA T | |
| An antisymmetric neural network to predict free energy changes in protein variants | 2021 | Benevenuta S.; Pancotti C.; Fariselli P.; Birolo G.; Sanavia T. | |
| DDGun: an untrained predictor of protein stability changes upon amino acid variants | 2022 | Montanucci L.; Capriotti E.; Birolo G.; Benevenuta S.; Pancotti C.; Lal D.; Fariselli P. | |
| Deep learning methods to predict amyotrophic lateral sclerosis disease progression | 2022 | Pancotti C.; Birolo G.; Rollo C.; Sanavia T.; Di Camillo B.; Manera U.; Chio A.; Fariselli P. | |
| 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 | 2024 | Giacobbe, Federico; Giannino, Giuseppe; Annone, Umberto; Morena, Arianna; Di Vita, Umberto; Carmagnola, Ludovica; Nebiolo, Marco; Rollo, Cesare; Ravetti, Emanuele; Troncone, Mattia; Pancotti, Corrado; De Filippo, Ovidio; Bruno, Francesco; Angelini, Filippo; Gaido, Luca; Fariselli, Piero; D'Ascenzo, Fabrizio; Giammaria, Massimo; De Ferrari, Gaetano Maria | |
| Influence of Model Structures on Predictors of Protein Stability Changes from Single-Point Mutations | 2023 | Rollo, Cesare; Pancotti, Corrado; Birolo, Giovanni; Rossi, Ivan; Sanavia, Tiziana; Fariselli, Piero | |
| Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis | 2022 | Corrado Pancotti, Giovanni Birolo, Tiziana Sanavia, Cesare Rollo, Piero Fariselli | |
| MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classification | 2024 | Pancotti, Corrado; Rollo, Cesare; Codice, Francesco; Birolo, Giovanni; Fariselli, Piero; Sanavia, Tiziana | |
| Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset | 2022 | Pancotti, Corrado; Benevenuta, Silvia; Birolo, Giovanni; Alberini, Virginia; Repetto, Valeria; Sanavia, Tiziana; Capriotti, Emidio; Fariselli, Piero | |
| SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions | 2024 | Rollo, Cesare; Pancotti, Corrado; Birolo, Giovanni; Rossi, Ivan; Sanavia, Tiziana; Fariselli, Piero | |
| Unravelling the instability of mutational signatures extraction via archetypal analysis | 2023 | Pancotti C.; Rollo C.; Birolo G.; Benevenuta S.; Fariselli P.; Sanavia T. |