Publications by authors named "Marco Frasca"

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Minor salivary gland tumors: A retrospective review of cases in a single centre of south Italy.
Ida Barca, Francesco Ferragina, Samuel Staglianò, Giuseppe Tarallo, Angelo Ruggero Sottile, Marco Frasca

Am J Otolaryngol· June 2025

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Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach.
Laura Ferrè, Ferdinando Clarelli, Beatrice Pignolet, Elisabetta Mascia, Marco Frasca

J Pers Med· January 2023

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Identification of key miRNAs in prostate cancer progression based on miRNA-mRNA network construction.
Giulia Dal Santo, Marco Frasca, Gloria Bertoli, Isabella Castiglioni, Claudia Cava

Comput Struct Biotechnol J· February 2022

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HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction.
Marco Notaro, Marco Frasca, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi

Bioinformatics· December 2021

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Identification of Breast Cancer Subtype-Specific Biomarkers by Integrating Copy Number Alterations and Gene Expression Profiles.
Claudia Cava, Mirko Pisati, Marco Frasca, Isabella Castiglioni

Medicina (Kaunas)· March 2021

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Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools.
Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Jessica Gliozzo, Marco Notaro

PLoS One· January 2021

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Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.
Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti

IEEE Access· October 2020

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parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants.
Alessandro Petrini, Marco Mesiti, Max Schubach, Marco Frasca, Daniel Danis

Gigascience· May 2020

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Multitask Protein Function Prediction through Task Dissimilarity.
Marco Frasca, Nicolo Cesa Bianchi

IEEE/ACM Trans Comput Biol Bioinform· March 2020

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Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction.
Jessica Gliozzo, Paolo Perlasca, Marco Mesiti, Elena Casiraghi, Viviana Vallacchi, Marco Frasca

Sci Rep· February 2020

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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens.
Naihui Zhou, Yuxiang Jiang, Timothy R Bergquist, Alexandra J Lee, Balint Z Kacsoh, Marco Frasca

Genome Biol· November 2019

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UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.
Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Marco Notaro, Alessandro Petrini

BMC Bioinformatics· August 2019

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Correction to: Evaluating the impact of topological protein features on the negative examples selection.
Paolo Boldi, Marco Frasca, Dario Malchiodi

BMC Bioinformatics· December 2018

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Evaluating the impact of topological protein features on the negative examples selection.
Paolo Boldi, Marco Frasca, Dario Malchiodi

BMC Bioinformatics· November 2018

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A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections.
Elena Casiraghi, Veronica Huber, Marco Frasca, Mara Cossa, Matteo Tozzi

BMC Bioinformatics· October 2018

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A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks.
Marco Frasca, Giuliano Grossi, Jessica Gliozzo, Marco Mesiti, Marco Notaro

BMC Bioinformatics· October 2018

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Gene2DisCo: Gene to disease using disease commonalities.
Marco Frasca

Artif Intell Med· October 2017

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RANKS: a flexible tool for node label ranking and classification in biological networks.
Giorgio Valentini, Giuliano Armano, Marco Frasca, Jianyi Lin, Marco Mesiti

Bioinformatics· September 2016

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UNIPred: Unbalance-Aware Network Integration and Prediction of Protein Functions.
Marco Frasca, Alberto Bertoni, Giorgio Valentini

J Comput Biol· December 2015

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GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology.
Horacio Caniza, Alfonso E Romero, Samuel Heron, Haixuan Yang, Alessandra Devoto, Marco Frasca

Bioinformatics· August 2014

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A neural network algorithm for semi-supervised node label learning from unbalanced data.
Marco Frasca, Alberto Bertoni, Matteo Re, Giorgio Valentini

Neural Netw· July 2013

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A mathematical model for the validation of gene selection methods.
Marco Muselli, Alberto Bertoni, Marco Frasca, Alessandro Beghini, Francesca Ruffino

IEEE/ACM Trans Comput Biol Bioinform· January 2012

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