Knowledge-Based Identification of Multicomponent Therapies. - Francesca Vitali; Francesca Mulas; Pietro Marini; Riccardo Bellazzi (AIME, 2013)

Network-based target ranking for polypharmacological therapies. - Francesca Vitali; Francesca Mulas; Pietro Marini; Riccardo Bellazzi (J. Biomed. Informatics, 2013)

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

MTopGO: a tool for module identification in PPI Networks. - Danila Vella; Simone Marini; Francesca Vitali; Riccardo Bellazzi (PeerJ Prepr., 2017)

Session Introduction. - Yves A. Lussier; Joanne Berghout; Francesca Vitali; Kenneth S. Ramos; Maricel G. Kann; Jason H. Moore (PSB, 2018)

Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes. - Qike Li; Samir Rachid Zaim; Dillon Aberasturi; Joanne Berghout; Haiquan Li; Francesca Vitali; Colleen Kenost; Hao Helen Zhang; Yves A. Lussier (AMIA, 2019)

Reading between the genes: interpreting non-coding DNA in high-throughput. - Joanne Berghout; Yves A. Lussier; Francesca Vitali; Martha L. Bulyk; Maricel G. Kann; Jason H. Moore (PSB, 2019)

Precision drug repurposing via convergent eQTL-based molecules and pathway targeting independent disease-associated polymorphisms. - Francesca Vitali; Joanne Berghout; Jung-wei Fan; Jianrong Li; Qike Li; Haiquan Li; Yves A. Lussier (PSB, 2019)

Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes. - Francesca Vitali; Qike Li; A. Grant Schissler; Joanne Berghout; Colleen Kenost; Yves A. Lussier (Briefings Bioinform., 2019)

Protease target prediction via matrix factorization. - Simone Marini; Francesca Vitali; Sara Rampazzi; Andrea Demartini; Tatsuya Akutsu (Bioinform., 2019)

Slow Rogaining: An Innovative Teamwork Model for Computer Science Education. - Giorgio Delzanno; Giovanna Guerrini; Viviana Mascardi; Luca Gelati; Vincenzo Petito; Francesca Vitali; Angelo Ferrando 001; Davide Ancona; Manuela Chessa; Nicoletta Noceti; Francesca Odone (UMAP (Adjunct Publication), 2020)

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)

Unsupervised Deep Embedded Clustering Reveals High-Risk Subgroups for Alzheimer's Disease. - Coco Victoria Tirambulo; Simona Merlini; Carlos Lizarraga-Celaya; Mithun Paul; Roberta Diaz Brinton; Francesca Vitali (AIME (2), 2025)