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
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
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
Digital dermoscopy monitoring of melanocytic lesions: Two novel calculators combining static and dynamic features to identify melanoma
2021-01-01 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
2012-01-01 Zycinski, Grzegorz; Squillario, Margherita; Barla, Annalisa; Sanavia, Tiziana; Verri, Alessandro; Di Camillo, Barbara
DNA methylation profiling reveals common signatures of tumorigenesis and defines epigenetic prognostic subtypes of canine Diffuse Large B-cell Lymphoma
2017-01-01 Serena Ferraresso, Arianna Aricò, Tiziana Sanavia, Silvia Da Ros, Massimo Milan, Luciano Cascione, Stefano Comazzi, Valeria Martini, Mery Giantin, Barbara Di Camillo, Sandro Mazzariol, Diana Giannuzzi, Laura Marconato, Luca Aresu
Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment
2010-01-01 B. Di Camillo; M. Martini; T. Sanavia; G. Jurman; F. Sambo; A. Barla; M. Squillario; C. Furlanello; G. Toffolo; C. Cobelli
Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment
2012-01-01 Di Camillo B; Sanavia T; Martini M; Jurman G; Sambo F; Barla A; Squillario M; Furlanello C; Toffolo G; Cobelli C
| 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 | |
| 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 | |
| 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 | |
| DNA methylation profiling reveals common signatures of tumorigenesis and defines epigenetic prognostic subtypes of canine Diffuse Large B-cell Lymphoma | 2017 | Serena Ferraresso, Arianna Aricò, Tiziana Sanavia, Silvia Da Ros, Massimo Milan, Luciano Cascione, Stefano Comazzi, Valeria Martini, Mery Giantin, Barbara Di Camillo, Sandro Mazzariol, Diana Giannuzzi, Laura Marconato, Luca Aresu | |
| Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment | 2010 | B. Di Camillo; M. Martini; T. Sanavia; G. Jurman; F. Sambo; A. Barla; M. Squillario; C. Furlanello; G. Toffolo; C. Cobelli | |
| Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment | 2012 | Di Camillo B; Sanavia T; Martini M; Jurman G; Sambo F; Barla A; Squillario M; Furlanello C; Toffolo G; Cobelli C |