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Tiziana Sanavia
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2020 – today
- 2024
- [j6]Cesare Rollo, Corrado Pancotti, Giovanni Birolo, Ivan Rossi, Tiziana Sanavia, Piero Fariselli:
SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions. Comput. Biol. Medicine 172: 108288 (2024) - [c3]Guido Barducci, Flavio Sartori, Giovanni Birolo, Tiziana Sanavia, Piero Fariselli:
ALSFRS-R Score Prediction for Amyotrophic Lateral Sclerosis. CLEF (Working Notes) 2024: 1332-1340 - 2023
- [j5]Davide Chicco, Tiziana Sanavia, Giuseppe Jurman:
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BioData Min. 16(1) (2023) - [j4]Francesco Cremonesi, Vincent Planat, Varvara Kalokyri, Haridimos Kondylakis, Tiziana Sanavia, Victor Miguel Mateos Resinas, Babita Singh, Silvia Uribe:
The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform. J. Biomed. Informatics 141: 104338 (2023) - 2022
- [j3]Corrado Pancotti, Silvia Benevenuta, Giovanni Birolo, Virginia Alberini, Valeria Repetto, Tiziana Sanavia, Emidio Capriotti, Piero Fariselli:
Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset. Briefings Bioinform. 23(2) (2022) - [c2]Corrado Pancotti, Giovanni Birolo, Tiziana Sanavia, Cesare Rollo, Piero Fariselli:
Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis. CLEF (Working Notes) 2022: 1269-1276
2010 – 2019
- 2013
- [j2]Grzegorz Zycinski, Annalisa Barla, Margherita Squillario, Tiziana Sanavia, Barbara Di Camillo, Alessandro Verri:
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data. Source Code Biol. Medicine 8: 2 (2013) - 2012
- [b1]Tiziana Sanavia:
Biomarker lists stability in genomic studies. University of Padua, Italy, 2012 - [j1]Tiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, Andrea Bisognin, Barbara Di Camillo:
Improving biomarker list stability by integration of biological knowledge in the learning process. BMC Bioinform. 13(S-4): S22 (2012) - [c1]Grzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo:
Discriminant functional gene groups identification with machine learning and prior knowledge. ESANN 2012
Coauthor Index
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