Discriminant functional gene groups identification with machine learning and prior knowledge. - Grzegorz Zycinski; Margherita Squillario; Annalisa Barla; Tiziana Sanavia; Alessandro Verri; Barbara Di Camillo (ESANN, 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)

Biomarker lists stability in genomic studies. - Tiziana Sanavia (2012)

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)

Multi-Event Survival Prediction for Amyotrophic Lateral Sclerosis. - Corrado Pancotti; Giovanni Birolo; Tiziana Sanavia; Cesare Rollo; Piero Fariselli (CLEF (Working Notes), 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)

Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. - Davide Chicco; Tiziana Sanavia; Giuseppe Jurman (BioData Min., 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, 2023)

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; et al. (IEEE Big Data, 2024)

ALSFRS-R Score Prediction for Amyotrophic Lateral Sclerosis. - Guido Barducci; Flavio Sartori; Giovanni Birolo; Tiziana Sanavia; Piero Fariselli (CLEF (Working Notes), 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)

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; et al. (Comput. Methods Programs Biomed., 2025)

SurvHive: a package to consistently access multiple survival-analysis packages. - Giovanni Birolo; Ivan Rossi; Flavio Sartori; Cesare Rollo; Tiziana Sanavia; Piero Fariselli (CoRR, 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, 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, 2025)

Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis. - Ivan Rossi; Flavio Sartori; Cesare Rollo; Giovanni Birolo; Piero Fariselli; Tiziana Sanavia (CoRR, 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, 2025)