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Marco Frasca

Showing results (11-20 of 23) with videos related to

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Bioinformatics (Oxford, England)|July 9, 2021
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term predictionMarco Notaro, Marco Frasca, Alessandro Petrini, et al.
BMC Bioinformatics|October 28, 2018
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networksMarco Frasca, Giuliano Grossi, Jessica Gliozzo, et al.
Plos One|December 22, 2020
Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical toolsPaolo Perlasca, Marco Frasca, Cheick Tidiane Ba, et al.
American Journal of Otolaryngology|May 3, 2025
Minor salivary gland tumors: A retrospective review of cases in a single centre of south ItalyIda Barca, Francesco Ferragina, Samuel Staglianò, et al.
Bioinformatics (Oxford, England)|March 25, 2014
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene OntologyHoracio Caniza, Alfonso E Romero, Samuel Heron, et al.
BMC Bioinformatics|October 28, 2018
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sectionsElena Casiraghi, Veronica Huber, Marco Frasca, et al.
BMC Bioinformatics|August 16, 2019
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function predictionPaolo Perlasca, Marco Frasca, Cheick Tidiane Ba, et al.
Gigascience|May 24, 2020
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variantsAlessandro Petrini, Marco Mesiti, Max Schubach, et al.
Scientific Reports|February 29, 2020
Network modeling of patients' biomolecular profiles for clinical phenotype/outcome predictionJessica Gliozzo, Paolo Perlasca, Marco Mesiti, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency DepartmentsElena Casiraghi, Dario Malchiodi, Gabriella Trucco, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|July 9, 2021
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term predictionMarco Notaro, Marco Frasca, Alessandro Petrini, et al.
BMC Bioinformatics|October 28, 2018
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networksMarco Frasca, Giuliano Grossi, Jessica Gliozzo, et al.
Plos One|December 22, 2020
Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical toolsPaolo Perlasca, Marco Frasca, Cheick Tidiane Ba, et al.
American Journal of Otolaryngology|May 3, 2025
Minor salivary gland tumors: A retrospective review of cases in a single centre of south ItalyIda Barca, Francesco Ferragina, Samuel Staglianò, et al.
Bioinformatics (Oxford, England)|March 25, 2014
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene OntologyHoracio Caniza, Alfonso E Romero, Samuel Heron, et al.
BMC Bioinformatics|October 28, 2018
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sectionsElena Casiraghi, Veronica Huber, Marco Frasca, et al.
BMC Bioinformatics|August 16, 2019
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function predictionPaolo Perlasca, Marco Frasca, Cheick Tidiane Ba, et al.
Gigascience|May 24, 2020
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variantsAlessandro Petrini, Marco Mesiti, Max Schubach, et al.
Scientific Reports|February 29, 2020
Network modeling of patients' biomolecular profiles for clinical phenotype/outcome predictionJessica Gliozzo, Paolo Perlasca, Marco Mesiti, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency DepartmentsElena Casiraghi, Dario Malchiodi, Gabriella Trucco, et al.
Pageof 3