PANCOTTI, CORRADO

PANCOTTI, CORRADO  

SCIENZE MEDICHE  

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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.
Exploiting Machine Learning in Complex Biological Systems: Insights into Protein Stability Prediction and Mutational Signatures Analysis 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 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
Machine learning‐based prediction of in‐hospital death for patients with takotsubo syndrome: The InterTAK‐ML model 2023 De Filippo, Ovidio; Cammann, Victoria L.; Pancotti, Corrado; Di Vece, Davide; Silverio, Angelo; Schweiger, Victor; Niederseer, David; Szawan, Konrad A.; Würdinger, Michael; Koleva, Iva; Dusi, Veronica; Bellino, Michele; Vecchione, Carmine; Parodi, Guido; Bossone, Eduardo; Gili, Sebastiano; Neuhaus, Michael; Franke, Jennifer; Meder, Benjamin; Jaguszewski, Miłosz; Noutsias, Michel; Knorr, Maike; Jansen, Thomas; Dichtl, Wolfgang; von Lewinski, Dirk; Burgdorf, Christof; Kherad, Behrouz; Tschöpe, Carsten; Sarcon, Annahita; Shinbane, Jerold; Rajan, Lawrence; Michels, Guido; Pfister, Roman; Cuneo, Alessandro; Jacobshagen, Claudius; Karakas, Mahir; Koenig, Wolfgang; Pott, Alexander; Meyer, Philippe; Roffi, Marco; Banning, Adrian; Wolfrum, Mathias; Cuculi, Florim; Kobza, Richard; Fischer, Thomas A.; Vasankari, Tuija; Airaksinen, K.E. Juhani; Napp, L. Christian; Dworakowski, Rafal; MacCarthy, Philip; Kaiser, Christoph; Osswald, Stefan; Galiuto, Leonarda; Chan, Christina; Bridgman, Paul; Beug, Daniel; Delmas, Clément; Lairez, Olivier; Gilyarova, Ekaterina; Shilova, Alexandra; Gilyarov, Mikhail; El‐Battrawy, Ibrahim; Akin, Ibrahim; Poledniková, Karolina; Toušek, Petr; Winchester, David E.; Massoomi, Michael; Galuszka, Jan; Ukena, Christian; Poglajen, Gregor; Carrilho‐Ferreira, Pedro; Hauck, Christian; Paolini, Carla; Bilato, Claudio; Kobayashi, Yoshio; Kato, Ken; Ishibashi, Iwao; Himi, Toshiharu; Din, Jehangir; Al‐Shammari, Ali; Prasad, Abhiram; Rihal, Charanjit S.; Liu, Kan; Schulze, P. Christian; Bianco, Matteo; Jörg, Lucas; Rickli, Hans; Pestana, Gonçalo; Nguyen, Thanh H.; Böhm, Michael; Maier, Lars S.; Pinto, Fausto J.; Widimský, Petr; Felix, Stephan B.; Braun‐Dullaeus, Ruediger C.; Rottbauer, Wolfgang; Hasenfuß, Gerd; Pieske, Burkert M.; Schunkert, Heribert; Budnik, Monika; Opolski, Grzegorz; Thiele, Holger; Bauersachs, Johann; Horowitz, John D.; Di Mario, Carlo; Bruno, Francesco; Kong, William; Dalakoti, Mayank; Imori, Yoichi; Münzel, Thomas; Crea, Filippo; Lüscher, Thomas F.; Bax, Jeroen J.; Ruschitzka, Frank; De Ferrari, Gaetano Maria; Fariselli, Piero; Ghadri, Jelena R.; Citro, Rodolfo; D'Ascenzo, Fabrizio; Templin, Christian
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.