Signal Processing in Comparative Genomics. - Matteo Ré; Giulio Pavesi (WILF, 2007)

A high performance grid-web service framework for the identification of 'conserved sequence tags'. - Paolo D'Onorio De Meo; Danilo Carrabino; Nico Sanna; Tiziana Castrignanò; Giorgio Grillo; Flavio Licciulli; Sabino Liuni; Matteo Re; Flavio Mignone; Graziano Pesole (Future Gener. Comput. Syst., 2007)

Ensemble Based Data Fusion for Gene Function Prediction. - Matteo Re; Giorgio Valentini (MCS, 2009)

Comparing early and late data fusion methods for gene function prediction. - Matteo Re; Giorgio Valentini (WIRN, 2009)

Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns. - Matteo Ré; Giulio Pavesi (Artif. Intell. Medicine, 2009)

Accurate discrimination of conserved coding and non-coding regions through multiple indicators of evolutionary dynamics. - Matteo Re; Graziano Pesole; David Stephen Horner (BMC Bioinform., 2009)

A stability-based algorithm to validate hierarchical clusters of genes. - Roberto Avogadri; Matteo Brioschi; Fulvia Ferrazzi; Matteo Re; Alessandro Beghini; Giorgio Valentini (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources. - Matteo Re; Giorgio Valentini (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction. - Matteo Re; Giorgio Valentini (MCS, 2010)

Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines. - Matteo Re; Giorgio Valentini (Neurocomputing, 2010)

Noise tolerance of Multiple Classifier Systems in data integration-based gene function prediction. - Matteo Re; Giorgio Valentini (J. Integr. Bioinform., 2010)

Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction. - Matteo Ré; Giorgio Valentini (MLSB, 2010)

Identification of promoter regions in genomic sequences by 1-dimensional constraint clustering. - Alberto Bertoni; Matteo Re; Francesco Saccà; Giorgio Valentini (WIRN, 2011)

Comparing early and late data fusion methods for gene expression prediction. - Matteo Ré (Soft Comput., 2011)

A Novel Ensemble Technique for Protein Subcellular Location Prediction. - Alessandro Rozza; Gabriele Lombardi; Matteo Re; Elena Casiraghi; Giorgio Valentini; Paola Campadelli (Ensembles in Machine Learning Applications, 2011)

Random Walking on Functional Interaction Networks to Rank Genes Involved in Cancer. - Matteo Re; Giorgio Valentini (AIAI (2), 2012)

Large Scale Ranking and Repositioning of Drugs with Respect to DrugBank Therapeutic Categories. - Matteo Re; Giorgio Valentini (ISBRA, 2012)

Cancer module genes ranking using kernelized score functions. - Matteo Re; Giorgio Valentini (BMC Bioinform., 2012)

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference. - Nicolò Cesa-Bianchi; Matteo Re; Giorgio Valentini (Mach. Learn., 2012)

A Fast Ranking Algorithm for Predicting Gene Functions in Biomolecular Networks. - Matteo Re; Marco Mesiti; Giorgio Valentini (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

A neural network algorithm for semi-supervised node label learning from unbalanced data. - Marco Frasca 001; Alberto Bertoni; Matteo Re; Giorgio Valentini (Neural Networks, 2013)

Network-Based Drug Ranking and Repositioning with Respect to DrugBank Therapeutic Categories. - Matteo Re; Giorgio Valentini (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods. - Giorgio Valentini; Alberto Paccanaro; Horacio Caniza; Alfonso E. Romero; Matteo Re (Artif. Intell. Medicine, 2014)

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)

Within network learning on big graphs using secondary memory-based random walk kernels. - Jianyi Lin; Marco Mesiti; Matteo Re; Giorgio Valentini (COMPLEX NETWORKS, 2016)

RANKS: a flexible tool for node label ranking and classification in biological networks. - Giorgio Valentini; Giuliano Armano; Marco Frasca 001; Jianyi Lin; Marco Mesiti; Matteo Re (Bioinform., 2016)

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)