SANAVIA, Tiziana

SANAVIA, Tiziana  

SCIENZE MEDICHE  

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Titolo Data di pubblicazione Autore(i) File
A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis 2016 Noren David P.; Long Byron L.; Norel Raquel; Rrhissorrakrai Kahn; Hess Kenneth; Hu Chenyue Wendy; Bisberg Alex J.; Schultz Andre; Engquist Erik; Liu Li; Lin Xihui; Chen Gregory M.; Xie Honglei; Hunter Geoffrey A. M.; Boutros Paul C.; Stepanov Oleg; Abrams Zachary; Ambrosini Giovanna; Anastassiou Dimitris; Baladandayuthapani Veerabhadran; Batten Kimberly; Bucher Philipp; Buturovic Ljubomir; Campion Loic; Creighton Chad J.; Chen Greg; Cheong Jae-Ho; Barbara Di Camillo; Dreos René; Estrada Alan; Fatemi Seyyed A.; Fitzgerald Andrew; Flynn Jennifer; Fronczuk Maciej; Gu Weiyi; Guha Subharup; Hosseini Maryam; Hung Ling-Hong; Hunter Geoffrey; Hwang Tae Hyun; Kim Daniel; Kim Minsoo; Korra Jyothi; Krstajic Damjan; Kumar Sunil; Kuh Anthony; Li Jinpu; Liu Yashu; Mcmurray James; Morgan Daniel; Motiwala Tasneem; Naegle Kristen; Niemiec Rafał; Oehler Vivian G.; Park Sunho; Pattin Alejandrina; Peabody Andrea; Piraino Scott W.; Regan Kelly; Ronan Tom; Rościszewski Antoni; Rudnicki Witold; Sanavia Tiziana; Santhanam Narayana; Shay Jerry; Tang Hao; Vilar Jose M. G.; Wang Tao; Wright Woodring; Wrzesień Mariusz; Xiao Guanghua; Xie Yang; Yang Sen; Yang Tai-Hsien Ou; Yang Tao; Ye Jieping; Yeung Ka Yee; Zang Xiao; Zolfaghar Kiyana; Żuk Paweł; Norman Thea; Friend Stephen H.; Stolovitzky Gustavo; Kornblau Steven; Qutub Amina A.
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.
A Method to Reveal and Handle Heterogeneities and Inconsistencies in Gene Ontology Annotation 2011 Facchinetti A; Sanavia T; Di Camillo B; Lavezzo E; Fontana P; Toppo S
A prospective, multicenter, three-cohort study evaluating contrast-induced acute kidney injury (CI-AKI) in patients with cirrhosis 2024 Campion, Daniela; Ponzo, Paola; Risso, Alessandro; Caropreso, Paola; Caviglia, Gian Paolo; Sanavia, Tiziana; Frigo, Francesco; Bonetto, Silvia; Giovo, Ilaria; Rizzo, Martina; Martini, Silvia; Bugianesi, Elisabetta; Mengozzi, Giulio; Marzano, Alfredo; Manca, Aldo; Saracco, Giorgio Maria; Alessandria, Carlo
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.
Atrial fibrillation after orthotopic heart transplantatation: Pathophysiology and clinical impact 2021 Ferretto S.; Giuliani I.; Sanavia T.; Bottio T.; Fraiese A.P.; Gambino A.; Tarzia V.; Toscano G.; Iliceto S.; Gerosa G.; Leoni L.
Biomarker lists stability in genomic studies: analysis and improvement by prior biological knowledge integration into the learning process 2012 Sanavia, T
Calcineurin gamma catalytic subunit ppp3cc inhibition by mir-200c-3p affects apoptosis in epithelial ovarian cancer 2021 Anastasiadou E.; Messina E.; Sanavia T.; Labruna V.; Ceccarelli S.; Megiorni F.; Gerini G.; Pontecorvi P.; Camero S.; Perniola G.; Venneri M.A.; Trivedi P.; Lenzi A.; Marchese C.
Can we go beyond sequence similarity to predict protein function? 2012 Fontana P; Sanavia T; Facchinetti A; Lavezzo E; Falda M; Cavalieri D; Di Camillo B; Toppo S
Challenges and Opportunities of Precision Medicine in Sickle Cell Disease: Novel European Approach by GenoMed4All Consortium and ERN-EuroBloodNet 2023 Collado, Anna; Boaro, Maria Paola; van der Veen, Sigrid; Idrizovic, Amira; Biemond, Bart J; Beneitez Pastor, David; Ortuño, Ana; Cela, Elena; Ruiz-Llobet, Anna; Bartolucci, Pablo; de Montalembert, Marianne; Castellani, Gastone; Biondi, Riccardo; Manara, Renzo; Sanavia, Tiziana; Fariselli, Piero; Kountouris, Petros; Kleanthous, Marina; Alvarez, Federico; Zazo, Santiago; Colombatti, Raffaella; van Beers, Eduard J; Mañú-Pereira, María Del Mar
Challenges in predicting stabilizing variations: An exploration 2023 Benevenuta S.; Birolo G.; Sanavia T.; Capriotti E.; Fariselli P.
Changes in microRNA expression during disease progression in patients with chronic viral hepatitis 2015 SINIGAGLIA, ALESSANDRO; LAVEZZO, ENRICO; TREVISAN, MARTA; SANAVIA, TIZIANA; DI CAMILLO, BARBARA; PETA, ELEKTRA; SCARPA, MELANIA; CASTAGLIUOLO, IGNAZIO; GUIDO, MARIA; Sarcognato, S; CAPPELLESSO, ROCCO; FASSINA, AMBROGIO; CARDIN, ROMILDA; FARINATI, FABIO; Palù, G; BARZON, LUISA
Characterization of human cytomegalovirus microRNA temporal expression profile and target prediction by dynamic expression analysis 2013 Trevisan M; Albonetti C; Lavezzo E; Sanavia T; Sinigaglia A; Di Camillo B; Palu G; Barzon L
Copy number and single nucleotide variants in neuropsychiatric diseases: a cross-disorder whole-genome sequencing study 2016 Sanavia T; Wang J; Kwon M; Park PJ; Kohane IS; Perlis R
Critical assessment of automated flow cytometry data analysis techniques 2013 Aghaeepour N; Finak G; FlowCAP Consortium; Dougall D; Khodabakhshi AH; Mah P; Obermoser G; Spidlen J; Taylor I; Wuensch SA; Bramson J; Eaves C; Weng AP; Iii ES; Ho K; Kollmann T; Rogers W; De Rosa S; Dalal B; Azad A; Pothen A; Brandes A; Bretschneider H; Bruggner R; Finck R; Jia R; Zimmerman N; Linderman M; Dill D; Nolan G; Chan C; Khettabi FE; O'Neill K; Chikina M; Ge Y; Sealfon S; Sugár I; Gupta A; Shooshtari P; Zare H; De Jager PL; Jiang M; Keilwagen J; Maisog JM; Luta G; Barbo AA; Májek P; Vilček J; Manninen T; Huttunen H; Ruusuvuori P; Nykter M; McLachlan GJ; Wang K; Naim I; Sharma G; Nikolic R; Pyne S; Qian Y; Qiu P; Quinn J; Roth A; DREAM Consortium; Meyer P; Stolovitzky G; Saez-Rodriguez J; Norel R; Bhattacharjee M; Biehl M; Bucher P; Bunte K; Di Camillo B; Sambo F; Sanavia T; Trifoglio E; Toffolo G; Dimitrieva S; Dreos R; Ambrosini G; Grau J; Grosse I; Posch S; Guex N; Keilwagen J; Kursa M; Rudnicki W; Liu B; Maienschein-Cline M; Manninen T; Huttunen H; Ruusuvuori P; Nykter M; Schneider P; Seifert M; Strickert M; Vilar JM; Hoos H; Mosmann TR; Brinkman R; Gottardo R; Scheuermann RH
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.
Diagnostic accuracy of an immunohistochemical panel to distinguish intrahepatic cholangiocarcinoma from bile duct adenoma. 2019 Nicolè L, Sarcognato S, Cappellesso R, SANAVIA T, Luchini C, Mescoli C, Capelli P, Fassina A, Guido M
Digital dermoscopy monitoring of melanocytic lesions: Two novel calculators combining static and dynamic features to identify melanoma 2021 M Zenone, L Zocchi, C Moccia, SG Passerini, T Sanavia, P Fariselli, P Broganelli, S Ribero, M Maule, P Quaglino
Discriminant functional gene groups identification with machine learning and prior knowledge 2012 Zycinski, Grzegorz; Squillario, Margherita; Barla, Annalisa; Sanavia, Tiziana; Verri, Alessandro; Di Camillo, Barbara