Davide Chicco - Google Scholar

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	All	Since 2015
Citations	1162	1096
h-index	13	13
i10-index	18	15

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2012201320142015201620172018201920205 9 49 44 57 71 167 339 414

Co-authors

Marco MasseroliPolitecnico di MilanoVerified email at polimi.it
Pietro Pinolipostdoc, Politecnico di MilanoVerified email at polimi.it
Giuseppe JurmanFondazione Bruno Kessler, Trento, ItalyVerified email at fbk.eu
Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Peter SadowskiAssistant Professor, University of Hawai’i at MānoaVerified email at hawaii.edu
Jaime CardosoAssociate Professor at Faculty of Engineering, University of Porto; Researcher at INESC TECVerified email at fe.up.pt
Kelwin FernandesNILG.AIVerified email at nilg.ai
Eleonora CiceriFondazione Centro San RaffaeleVerified email at hsr.it
Michael M. HoffmanScientist, Princess Margaret Cancer Centre/Associate Professor, University of TorontoVerified email at utoronto.ca
G StolovitzkyProgram Director, Translational Systems Biology and NanobiotechnologyVerified email at us.ibm.com
Barbara Di CamilloUniversity of Padova, Information Engineering DepartmentVerified email at dei.unipd.it
Robert KueffnerVerified email at bio.ifi.lmu.de
Fernando PalluzziUniversità degli Studi di PaviaVerified email at ieo.it
Jüri ReimandOntario Institute for Cancer Research, University of TorontoVerified email at utoronto.ca
Coby VinerGraduate Student, Department of Computer Science, University of TorontoVerified email at cs.toronto.edu
Mickaël MendezGraduate Student, Department of Computer Science, University of TorontoVerified email at mail.utoronto.ca
Mehran KarimzadehVector Institute and UCSFVerified email at vectorinstitute.ai
Jay R HesselberthAssociate Professor of Biochemistry & Molecular Genetics, University of Colorado School of MedicineVerified email at cuanschutz.edu
Anshul KundajeAssistant Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityVerified email at stanford.edu
Rachel C. W. ChanUniversity of TorontoVerified email at cs.toronto.edu

Davide Chicco

Krembil Research Institute & University of Toronto

Verified email at utoronto.ca - Homepage

applied machine learning bioinformatics data science biomedical informatics Matthews correlation coefficient


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Ten quick tips for machine learning in computational biology D Chicco BioData Mining 10 (35), 1-17, 2017	296	2017
Bioconda: sustainable and comprehensive software distribution for the life sciences B Grüning, R Dale, A Sjödin, BA Chapman, J Rowe, CH Tomkins-Tinch, ... Nature Methods 15 (7), 475, 2018	252	2018
Deep autoencoder neural networks for Gene Ontology annotation predictions D Chicco, P Sadowski, P Baldi Proceedings of ACM BCB 2014 – the 5th ACM Conference on Bioinformatics …, 2014	148	2014
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation D Chicco, G Jurman BMC Genomics 21 (6), 1-13, 2020	106	2020
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature Communications 10 (1), 2674, 2019	54	2019
Probabilistic latent semantic analysis for prediction of Gene Ontology annotations M Masseroli, D Chicco, P Pinoli Proceedings of IJCNN 2012 – the 2012 International Joint Conference on …, 2012	42	2012
Latent Dirichlet Allocation based on Gibbs Sampling for gene function prediction P Pinoli, D Chicco, M Masseroli Proceedings of IEEE CIBCB 2014 – the IEEE 2014 Conference on Computational …, 2014	35	2014
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations P Pinoli, D Chicco, M Masseroli Proceedings of IEEE BIBE 2013 – the 13th IEEE International Conference on …, 2013	22	2013
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis K Fernandes, D Chicco, JS Cardoso, J Fernandes PeerJ Computer Science 4 (e154), 2018	21	2018
Computational algorithms to predict Gene Ontology annotations P Pinoli, D Chicco, M Masseroli BMC Bioinformatics 16 (Suppl 6), S4, 2015	19	2015
A discrete optimization approach for SVD best truncation choice based on ROC curves D Chicco, M Masseroli Proceedings of IEEE BIBE 2013 – the 13th IEEE International Conference on …, 2013	18	2013
Ontology-based prediction and prioritization of gene functional annotations D Chicco, M Masseroli IEEE/ACM Transactions on Computational Biology and Bioinformatics 13 (2 …, 2016	14	2016
Genomic annotation prediction based on integrated information D Chicco, M Tagliasacchi, M Masseroli Computational Intelligence Methods for Bioinformatics and Biostatistics 7548 …, 2011	14	2011
Computational prediction of diagnosis and feature selection on mesothelioma patient health records D Chicco, C Rovelli PLoS ONE 14 (1), e0208737, 2019	13	2019
A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction MP Menden, D Wang, Y Guan, M Mason, B Szalai, KC Bulusu, T Yu, ... bioRxiv 200451, 1-32, 2018	13	2018
Semantically improved genome-wide prediction of Gene Ontology annotations M Masseroli, M Tagliasacchi, D Chicco Proceedings of IEEE ISDA 2011 – the IEEE 11th International Conference on …, 2011	12	2011
Software suite for gene and protein annotation prediction and similarity search D Chicco, M Masseroli IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (4 …, 2015	11	2015
Weighting scheme methods for enhanced genomic annotation prediction P Pinoli, D Chicco, M Masseroli Computational Intelligence Methods for Bioinformatics and Biostatistics, 76-89, 2014	11	2014
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach R Kueffner, N Zach, M Bronfeld, R Norel, N Atassi, V Balagurusamy, ... Scientific Reports 9 (1), 690, 2019	9	2019
Biomolecular annotation prediction through information integration D Chicco, M Tagliasacchi, M Masseroli Proceedings of CIBB 2011, 1-8, 2011	9	2011

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