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IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 11, 2012
A fast ranking algorithm for predicting gene functions in biomolecular networksMatteo Re, Marco Mesiti, Giorgio Valentini
Gigascience|May 21, 2014
Think globally and solve locally: secondary memory-based network learning for automated multi-species function predictionMarco Mesiti, Matteo Re, Giorgio Valentini
Bioinformatics (Oxford, England)|June 4, 2016
RANKS: a flexible tool for node label ranking and classification in biological networksGiorgio Valentini, Giuliano Armano, Marco Frasca, et al.
BMC Bioinformatics|October 26, 2012
Cancer module genes ranking using kernelized score functionsMatteo Re, Giorgio Valentini
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 11, 2014
Network-based drug ranking and repositioning with respect to DrugBank therapeutic categoriesMatteo Re, Giorgio Valentini
Neural Networks : the Official Journal of the International Neural Network Society|March 19, 2013
A neural network algorithm for semi-supervised node label learning from unbalanced dataMarco Frasca, Alberto Bertoni, Matteo Re, 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.
Scientific Reports|June 9, 2017
Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding VariantsMax Schubach, Matteo Re, Peter N Robinson, et al.
Artificial Intelligence in Medicine|April 15, 2014
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methodsGiorgio Valentini, Alberto Paccanaro, Horacio Caniza, et al.
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