Stebėti
Matteo Re
Matteo Re
Dipartimento di Informatica, Università degli studi di Milano
Patvirtintas el. paštas di.unimi.it
Pavadinimas
Cituota
Cituota
Metai
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, 1-19, 2016
4122016
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, 1-23, 2019
3512019
1 Ensemble methods: a review 3
M Re, G Valentini
1451
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), 2959, 2017
1072017
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, 209-241, 2012
1022012
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
662014
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
652013
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 (6 …, 2012
552012
Ensembles in machine learning applications
O Okun, G Valentini, M Re
Springer Science & Business Media, 2011
512011
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 (6 …, 2013
502013
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
462009
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
412016
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
342012
Cancer module genes ranking using kernelized score functions
M Re, G Valentini
BMC bioinformatics 13, 1-16, 2012
322012
Weighted True Path Rule: a multilabel hierarchical algorithm for gene function prediction
G Valentini, M Re
322009
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
292010
A hierarchical ensemble method for dag-structured taxonomies
PN Robinson, M Frasca, S Köhler, M Notaro, M Re, G Valentini
Multiple Classifier Systems: 12th International Workshop, MCS 2015, Günzburg …, 2015
192015
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
172014
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
162012
Prediction of human gene-phenotype associations by exploiting the hierarchical structure of the human phenotype ontology
G Valentini, S Köhler, M Re, M Notaro, PN Robinson
Bioinformatics and Biomedical Engineering: Third International Conference …, 2015
152015
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Straipsniai 1–20