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Author Details

Alberto Paccanaro
University of London
2005
39
24
Nevan J Krogan (CM4AI)
PMIDPaper TitleJournal TitlePublished Year
34778851Machine learning and network medicine approaches for drug repositioning for COVID-19.Patterns (N Y)2022
35679533Heterogeneous data integration methods for patient similarity networks.Brief Bioinform2022
36590692Machine learning prediction of side effects for drugs in clinical trials.Cell Rep Methods2022
34778851Machine learning and network medicine approaches for drug repositioning for COVID-19.Patterns (N Y)2022
35679533Heterogeneous data integration methods for patient similarity networks.Brief Bioinform2022
36590692Machine learning prediction of side effects for drugs in clinical trials.Cell Rep Methods2022
33948587The Great Deceiver: miR-2392's Hidden Role in Driving SARS-CoV-2 Infection.bioRxiv2021
33948587The Great Deceiver: miR-2392's Hidden Role in Driving SARS-CoV-2 Infection.bioRxiv2021
34624208Role of miR-2392 in driving SARS-CoV-2 infection.Cell Rep2021
34624208Role of miR-2392 in driving SARS-CoV-2 infection.Cell Rep2021
32471347The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data.BMC Bioinformatics2020
32107391Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction.Sci Rep2020
32042315LUMI-PCR: an Illumina platform ligation-mediated PCR protocol for integration site cloning, provides molecular quantitation of integration sites.Mob DNA2020
32471347The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data.BMC Bioinformatics2020
32917868Predicting the frequencies of drug side effects.Nat Commun2020
32042315LUMI-PCR: an Illumina platform ligation-mediated PCR protocol for integration site cloning, provides molecular quantitation of integration sites.Mob DNA2020
32107391Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction.Sci Rep2020
32917868Predicting the frequencies of drug side effects.Nat Commun2020
30842421Author Correction: Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates.Nat Commun2019
31744546The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens.Genome Biol2019
31276496Disease gene prediction for molecularly uncharacterized diseases.PLoS Comput Biol2019
30842421Author Correction: Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates.Nat Commun2019
31744546The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens.Genome Biol2019
31276496Disease gene prediction for molecularly uncharacterized diseases.PLoS Comput Biol2019
29985390Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates.Nat Commun2018
29985390Subclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidates.Nat Commun2018
29087523Neurogenomic Signatures of Successes and Failures in Life-History Transitions in a Key Insect Pollinator.Genome Biol Evol2017
29087523Neurogenomic Signatures of Successes and Failures in Life-History Transitions in a Key Insect Pollinator.Genome Biol Evol2017
26841357mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome.Hum Mutat2016
26841357mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome.Hum Mutat2016
27604469An expanded evaluation of protein function prediction methods shows an improvement in accuracy.Genome Biol2016
27604469An expanded evaluation of protein function prediction methods shows an improvement in accuracy.Genome Biol2016
26631976A network medicine approach to quantify distance between hereditary disease modules on the interactome.Sci Rep2015
26631976A network medicine approach to quantify distance between hereditary disease modules on the interactome.Sci Rep2015
24726035An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.Artif Intell Med2014
24726035An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.Artif Intell Med2014
24659104GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology.Bioinformatics2014
25142519Progressive promoter element combinations classify conserved orthogonal plant circadian gene expression modules.J R Soc Interface2014
25142519Progressive promoter element combinations classify conserved orthogonal plant circadian gene expression modules.J R Soc Interface2014
24659104GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology.Bioinformatics2014
23353650A large-scale evaluation of computational protein function prediction.Nat Methods2013
23353650A large-scale evaluation of computational protein function prediction.Nat Methods2013
22426491Detecting overlapping protein complexes in protein-protein interaction networks.Nat Methods2012
22939629A census of human soluble protein complexes.Cell2012
22426491Detecting overlapping protein complexes in protein-protein interaction networks.Nat Methods2012
22790981GFam: a platform for automatic annotation of gene families.Nucleic Acids Res2012
22879875Computational selection of transcriptomics experiments improves Guilt-by-Association analyses.PLoS One2012
22682803Exploring the evolutionary path of plant MAPK networks.Trends Plant Sci2012
22522134Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty.Bioinformatics2012
22443363OsWRKY22, a monocot WRKY gene, plays a role in the resistance response to blast.Mol Plant Pathol2012
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Collaborators

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Yale University
Co-authored papers 9
Alfonso E Romero
University of Miami
Co-authored papers 9
Haixuan Yang
University of Galway
Co-authored papers 8
Tam??s Nepusz
Kingston University
Co-authored papers 7
Giorgio Valentini
Universita degli Studi di Milano
Co-authored papers 6
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Universita degli Studi di Milano
Co-authored papers 5
Haiyuan Yu
Weill Institute for Cell and Molecular Biology, Cornell University
Co-authored papers 5
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Royal Holloway University of London
Co-authored papers 4
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Universita degli Studi di Milano
Co-authored papers 4
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Imperial College London
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University of Padova
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University of California los angeles
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San Pio Hospital
Co-authored papers 3
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Indiana University
Co-authored papers 3
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Catalan Institution for Research and Advanced Studies (ICREA)
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Universita degli Studi di Milano
Co-authored papers 3
Sean D Mooney
University of Washington
Co-authored papers 3
Hai Fang
University of Bristol
Co-authored papers 3
Stefano Toppo
University of Padova
Co-authored papers 3
Patricia C Babbitt
University of California san francisco
Co-authored papers 3
Asa Ben-Hur
Colorado State University
Co-authored papers 3
Michal Linial
Institute of Life Sciences, The Hebrew University of Jerusalem
Co-authored papers 3
Daisuke Kihara
Purdue University
Co-authored papers 3
Andrew Emili
Boston University School of Medicine, Boston University
Co-authored papers 3
Iddo Friedberg
Iowa State University
Co-authored papers 3
David T Jones
University College London
Co-authored papers 3
Steven E Brenner
University of California berkeley
Co-authored papers 3
Rita Casadio
Department of Pharmacy and Biotechnology, University of Bologna
Co-authored papers 3
Burkhard Rost
Technical University of Munich (TUM)
Co-authored papers 3
Marco Frasca
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Release 1.2