Author

Matteo Ré

University of MilanORCID 0000-0002-2907-2847Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Organism:Drosophila· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alessandro PetriniiD· 2 shared Giorgio ValentiniiD· 2 shared Giuliano GrossiiD· 2 shared Marco FrascaiD· 2 shared Marco MesitiiD· 2 shared Ahmet Süreyya RifaioğluiD· 1 shared Alan J. MedlariD· 1 shared Alberto PaccanaroiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Alessandro PetriniORCID

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2 papers

Recent·Most cited

parSMURF, a High Performance Computing tool for the genome-wide detection of pathogenic variants

Alessandro Petrini, Marco Mesiti, Max Schubach, Marco Frasca, Daniel Daniš, Matteo Ré, Giuliano Grossi, Luca Cappelletti, Tiziana Castrignanò, Peter N. Robinson, Giorgio Valentini

parSMURF is a parallel machine learning tool for detecting pathogenic variants in genomic data, achieving state-of-the-art results with an 80x speed-up over sequential versions.

GigaScience · May 1, 2020Peer-reviewedBioinformatics

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, Alex W. Crocker, Kimberley A. Lewis, George P. Georghiou, Huy N. Nguyen, Md-Nafiz Hamid, Larry Davis, Tunca Doğan, Volkan Atalay, Ahmet Süreyya Rifaioğlu, Alperen Dalkıran, , Enrico Lavezzo

The paper reports results from the CAFA3 challenge, showing improved computational protein function prediction and new annotations for over 1000 genes through experimental screens in C. albicans, P. aureginosa, and Drosophila.

Genome biology · Nov 19, 2019Peer-reviewedBioinformatics