Tiziana Sanavia

According to our database, Tiziana Sanavia authored at least 17 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning.

Isabella Caranzano, Corrado Pancotti, Cesare Rollo, Flavio Sartori, Pietro Liò, Piero Fariselli, Tiziana Sanavia

CoRR, May, 2025

Mass Balance Approximation of Unfolding Improves Potential-Like Methods for Protein Stability Predictions.

Ivan Rossi, Guido Barducci, Tiziana Sanavia, Paola Turina, Emidio Capriotti, Piero Fariselli

CoRR, April, 2025

JanusDDG: A Thermodynamics-Compliant Model for Sequence-Based Protein Stability via Two-Fronts Multi-Head Attention.

Guido Barducci, Ivan Rossi, Francesco Codicè, Cesare Rollo, Valeria Repetto, Corrado Pancotti, Virginia Iannibelli, Tiziana Sanavia, Piero Fariselli

CoRR, April, 2025

SurvHive: a package to consistently access multiple survival-analysis packages.

Giovanni Birolo, Ivan Rossi, Flavio Sartori, Cesare Rollo, Tiziana Sanavia, Piero Fariselli

CoRR, February, 2025

VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes.

Cesare Rollo, Corrado Pancotti, Flavio Sartori, Isabella Caranzano, Saverio D'Amico, Luciana Carota, Francesco Casadei, Giovanni Birolo, Luca Lanino, Elisabetta Sauta, Gianluca Asti, Alessandro Buizza, Mattia Delleani, Elena Zazzetti, Marilena Bicchieri, Giulia Maggioni, Pierre Fenaux, Uwe Platzbecker, Maria Diez-Campelo, Torsten Haferlach, Gastone C. Castellani, Matteo Giovanni Della Porta, Piero Fariselli, Tiziana Sanavia

Comput. Methods Programs Biomed., 2025

Beyond Cox models: Assessing the performance of machine-learning methods in non-proportional hazards and non-linear survival analysis.

Giovanni Birolo, Ivan Rossi, Flavio Sartori, Cesare Rollo, Piero Fariselli, Tiziana Sanavia

Comput. Biol. Medicine, 2025

2024

SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions.

Cesare Rollo, Corrado Pancotti, Giovanni Birolo, Ivan Rossi, Tiziana Sanavia, Piero Fariselli

Comput. Biol. Medicine, 2024

ALSFRS-R Score Prediction for Amyotrophic Lateral Sclerosis.

Guido Barducci, Flavio Sartori, Giovanni Birolo, Tiziana Sanavia, Piero Fariselli

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments.

Francesco Casadei, Luciana Carota, Gianluca Asti, Saverio D'Amico, Davide Piscia, Santiago Zazo, Patricia A. Apellániz, Juan Parras, Claudia Sala, Cesare Rollo, Nono S. C. Merleau, Piero Fariselli, Matteo Giovanni Della Porta, Tiziana Sanavia, Federico Álvarez García, Gastone C. Castellani, Enrico Giampieri

Proceedings of the IEEE International Conference on Big Data, 2024

2023

The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform.

Francesco Cremonesi, Vincent Planat, Varvara Kalokyri, Haridimos Kondylakis, Tiziana Sanavia, Victor Miguel Mateos Resinas, Babita Singh, Silvia Uribe

J. Biomed. Informatics, May, 2023

Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma.

Davide Chicco, Tiziana Sanavia, Giuseppe Jurman

BioData Min., January, 2023

2022

Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset.

Corrado Pancotti, Silvia Benevenuta, Giovanni Birolo, Virginia Alberini, Valeria Repetto, Tiziana Sanavia, Emidio Capriotti, Piero Fariselli

Briefings Bioinform., 2022

Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis.

Corrado Pancotti, Giovanni Birolo, Tiziana Sanavia, Cesare Rollo, Piero Fariselli

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2013

Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data.

Grzegorz Zycinski, Annalisa Barla, Margherita Squillario, Tiziana Sanavia, Barbara Di Camillo, Alessandro Verri

Source Code Biol. Medicine, 2013

2012

Biomarker lists stability in genomic studies.

Tiziana Sanavia

PhD thesis, 2012

Improving biomarker list stability by integration of biological knowledge in the learning process.

Tiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, Andrea Bisognin, Barbara Di Camillo

BMC Bioinform., 2012

Discriminant functional gene groups identification with machine learning and prior knowledge.

Grzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012