Data Fusion Approach for Learning Transcriptional Bayesian Networks. - Elisabetta Sauta; Andrea Demartini; Francesca Vitali; Alberto Riva; Riccardo Bellazzi (AIME, 2017)

A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks. - Elisabetta Sauta; Andrea Demartini; Francesca Vitali; Alberto Riva; Riccardo Bellazzi (BMC Bioinform., 2020)

A continuous-time Markov model approach for modeling myelodysplastic syndromes progression from cross-sectional data. - Giovanna Nicora; F. Moretti; Elisabetta Sauta; Matteo Giovanni Della Porta; Luca Malcovati; Mario Cazzola; Silvana Quaglini; Riccardo Bellazzi (J. Biomed. Informatics, 2020)

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)