SANAVIA, Tiziana
SANAVIA, Tiziana
SCIENZE MEDICHE
A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis
2016-01-01 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
2021-01-01 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
2011-01-01 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
2024-01-01 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
Accuracy of a dedicated 100 Hz vibration-controlled spleen stiffness measurement for the detection of esophageal varices in naïve patients with compensated advanced chronic liver disease: interim results from a multicentric cohort
2024-01-01 Armandi, A.; Sanavia, T.; Vanderschueren, E.; Semmler, G.; Liguori, A.; Petta, S.; Michel, M.; Werner, M.M.; Merizian, T.; Labenz, C.; Jachs, M.; Mandorfer, M.; Laleman, W.; Miele, L.; Reiberger, T.; Schattenberg, J.M.
ACCURACY OF A DEDICATED 100 HZ VIBRATION-CONTROLLED SPLEEN STIFFNESS MEASUREMENT VERSUS BAVENO CRITERIA FOR THE DETECTION OF VARICES IN PATIENTS WITH COMPENSATED CIRRHOSIS
2023-01-01 Angelo Armandi; Tiziana Sanavia; Emma Vanderschueren; Georg Semmler; Antonio Liguori; Salvatore Petta; Maurice Michel; Merle Marie Werner; Talal Merizian; Christian Labenz; Mathias Jachs; Mattias Mandorfer; Wim Laleman; Luca Miele; Thomas Reiberger; Jörn M. Schattenberg
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.
Atrial fibrillation after orthotopic heart transplantatation: Pathophysiology and clinical impact
2021-01-01 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
2012-01-01 Sanavia, T
Calcineurin gamma catalytic subunit ppp3cc inhibition by mir-200c-3p affects apoptosis in epithelial ovarian cancer
2021-01-01 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?
2012-01-01 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
2023-01-01 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
2023-01-01 Benevenuta S.; Birolo G.; Sanavia T.; Capriotti E.; Fariselli P.
Changes in microRNA expression during disease progression in patients with chronic viral hepatitis
2015-01-01 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
2013-01-01 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
2016-01-01 Sanavia T; Wang J; Kwon M; Park PJ; Kohane IS; Perlis R
Critical assessment of automated flow cytometry data analysis techniques
2013-01-01 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
2022-01-01 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.
2019-01-01 Nicolè L, Sarcognato S, Cappellesso R, SANAVIA T, Luchini C, Mescoli C, Capelli P, Fassina A, Guido M
| 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 | |
| Accuracy of a dedicated 100 Hz vibration-controlled spleen stiffness measurement for the detection of esophageal varices in naïve patients with compensated advanced chronic liver disease: interim results from a multicentric cohort | 2024 | Armandi, A.; Sanavia, T.; Vanderschueren, E.; Semmler, G.; Liguori, A.; Petta, S.; Michel, M.; Werner, M.M.; Merizian, T.; Labenz, C.; Jachs, M.; Mandorfer, M.; Laleman, W.; Miele, L.; Reiberger, T.; Schattenberg, J.M. | |
| ACCURACY OF A DEDICATED 100 HZ VIBRATION-CONTROLLED SPLEEN STIFFNESS MEASUREMENT VERSUS BAVENO CRITERIA FOR THE DETECTION OF VARICES IN PATIENTS WITH COMPENSATED CIRRHOSIS | 2023 | Angelo Armandi; Tiziana Sanavia; Emma Vanderschueren; Georg Semmler; Antonio Liguori; Salvatore Petta; Maurice Michel; Merle Marie Werner; Talal Merizian; Christian Labenz; Mathias Jachs; Mattias Mandorfer; Wim Laleman; Luca Miele; Thomas Reiberger; Jörn M. Schattenberg | |
| 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 |