Matteo Re
Matteo Re
Dipartimento di Informatica, UniversitÓ degli studi di Milano
Verified email at di.unimi.it
Title
Cited by
Cited by
Year
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17 (1), 1-19, 2016
2652016
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
N Cesa-Bianchi, M Re, G Valentini
Machine Learning 88 (1-2), 209-241, 2012
872012
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
822019
Ensemble Methods
M Re, G Valentini
Advances in machine learning and data mining for astronomy, 563-593, 2012
802012
A neural network algorithm for semi-supervised node label learning from unbalanced data
M Frasca, A Bertoni, M Re, G Valentini
Neural Networks 43, 84-98, 2013
562013
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods
G Valentini, A Paccanaro, H Caniza, AE Romero, M Re
Artificial Intelligence in Medicine 61 (2), 63-78, 2014
532014
A fast ranking algorithm for predicting gene functions in biomolecular networks
M Re, M Mesiti, G Valentini
IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (6á…, 2012
512012
Network-based drug ranking and repositioning with respect to DrugBank therapeutic categories
M Re, G Valentini
IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (6á…, 2013
442013
Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction
M Re, G Valentini
Machine Learning in Systems Biology, 98-111, 2009
402009
Imbalance-aware machine learning for predicting rare and common disease-associated non-coding variants
M Schubach, M Re, PN Robinson, G Valentini
Scientific reports 7 (1), 1-12, 2017
392017
RANKS: a flexible tool for node label ranking and classification in biological networks
G Valentini, G Armano, M Frasca, J Lin, M Mesiti, M Re
Bioinformatics 32 (18), 2872-2874, 2016
322016
Cancer module genes ranking using kernelized score functions
M Re, G Valentini
BMC bioinformatics 13 (14), 1-16, 2012
302012
Ensembles in machine learning applications
O Okun, G Valentini, M Re
Springer Science & Business Media, 2011
292011
Weighted True Path Rule: a multilabel hierarchical algorithm for gene function prediction
G Valentini, M Re
European Conference on Machine Learning and Principles and Practice ofá…, 2009
262009
Regeneration-associated WNT signaling is activated in long-term reconstituting AC133bright acute myeloid leukemia cells
A Beghini, F Corlazzoli, L Del Giacco, M Re, F Lazzaroni, M Brioschi, ...
Neoplasia 14 (12), 1236-IN45, 2012
252012
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines
M Re, G Valentini
Neurocomputing 73 (7-9), 1533-1537, 2010
252010
Think globally and solve locally: secondary memory-based network learning for automated multi-species function prediction
M Mesiti, M Re, G Valentini
GigaScience 3 (1), 2047-217X-3-5, 2014
182014
Large scale ranking and repositioning of drugs with respect to DrugBank therapeutic categories
M Re, G Valentini
International Symposium on Bioinformatics Research and Applications, 225-236, 2012
172012
A hierarchical ensemble method for dag-structured taxonomies
PN Robinson, M Frasca, S K÷hler, M Notaro, M Re, G Valentini
International Workshop on Multiple Classifier Systems, 15-26, 2015
152015
Prediction of human gene-phenotype associations by exploiting the hierarchical structure of the human phenotype ontology
G Valentini, S K÷hler, M Re, M Notaro, PN Robinson
International Conference on Bioinformatics and Biomedical Engineering, 66-77, 2015
132015
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