Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology. - Giorgio Valentini; Sebastian Köhler 001; Matteo Ré; Marco Notaro; Peter N. Robinson (IWBBIO (1), 2015)

A Hierarchical Ensemble Method for DAG-Structured Taxonomies. - Peter N. Robinson; Marco Frasca 001; Sebastian Köhler 001; Marco Notaro; Matteo Re; Giorgio Valentini (MCS, 2015)

Disease-Genes Must Guide Data Source Integration in the Gene Prioritization Process. - Marco Frasca 001; Jean-Fred Fontaine; Giorgio Valentini; Marco Mesiti; Marco Notaro; Dario Malchiodi; Miguel A. Andrade-Navarro (CIBB, 2017)

Ensembling Descendant Term Classifiers to Improve Gene - Abnormal Phenotype Predictions. - Marco Notaro; Max Schubach; Marco Frasca 001; Marco Mesiti; Peter N. Robinson; Giorgio Valentini (CIBB, 2017)

Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods. - Marco Notaro; Max Schubach; Peter N. Robinson; Giorgio Valentini (BMC Bioinform., 2017)

A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. - Cheick Tidiane Ba; Elena Casiraghi; Marco Frasca 001; Jessica Gliozzo; Giuliano Grossi; Marco Mesiti; Marco Notaro; Paolo Perlasca; Alessandro Petrini; Matteo Re; Giorgio Valentini (CIBB, 2018)

A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. - Marco Frasca 001; Giuliano Grossi; Jessica Gliozzo; Marco Mesiti; Marco Notaro; Paolo Perlasca; Alessandro Petrini; Giorgio Valentini (BMC Bioinform., 2018)

UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. - Paolo Perlasca; Marco Frasca 001; Cheick Tidiane Ba; Marco Notaro; Alessandro Petrini; Elena Casiraghi; Giuliano Grossi; Jessica Gliozzo; Giorgio Valentini; Marco Mesiti (BMC Bioinform., 2019)

Hierarchical ensemble methods for ontology-based predictions in computational biology. - Marco Notaro (2019)

HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. - Marco Notaro; Marco Frasca 001; Alessandro Petrini; Jessica Gliozzo; Elena Casiraghi; Peter N. Robinson; Giorgio Valentini (Bioinform., 2021)

Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web. - Paolo Perlasca; Marco Frasca 001; Cheick Tidiane Ba; Jessica Gliozzo; Marco Notaro; Mario Pennacchioni; Giorgio Valentini; Marco Mesiti (ICWE Workshops, 2022)

ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data. - Alessandro Petrini; Marco Notaro; Jessica Gliozzo; Tiziana Castrignanò; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini (AIAI (Workshops), 2022)

Heterogeneous data integration methods for patient similarity networks. - Jessica Gliozzo; Marco Mesiti; Marco Notaro; Alessandro Petrini; Alex Patak; Antonio Puertas Gallardo; Alberto Paccanaro; Giorgio Valentini; Elena Casiraghi (Briefings Bioinform., 2022)

Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (CoRR, 2022)

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. - Elena Casiraghi; Rachel Wong; Margaret Hall; Ben D. Coleman; Marco Notaro; Michael D. Evans; Jena S. Tronieri; Hannah Blau; Bryan Laraway; Tiffany J. Callahan; Lauren E. Chan; Carolyn T. Bramante; et al. (J. Biomed. Informatics, 2023)