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BMC Bioinformatics|April 29, 2015
Computational algorithms to predict Gene Ontology annotationsPietro Pinoli, Davide Chicco, Marco MasseroliBiodata Mining|February 5, 2021
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluationDavide Chicco, Niklas Tötsch, Giuseppe JurmanIEEE/ACM Transactions on Computational Biology and Bioinformatics|April 25, 2017
Novelty Indicator for Enhanced Prioritization of Predicted Gene Ontology AnnotationsDavide Chicco, Fernando Palluzzi, Marco MasseroliBiodata Mining|March 4, 2023
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastomaDavide Chicco, Tiziana Sanavia, Giuseppe JurmanPlos Computational Biology|July 6, 2023
Ten quick tips for avoiding pitfalls in multi-omics data integration analysesDavide Chicco, Fabio Cumbo, Claudio AngioneNeural Networks : the Official Journal of the International Neural Network Society|July 31, 2016
A local Vapnik-Chervonenkis complexityLuca Oneto, Davide Anguita, Sandro RidellaPlos Computational Biology|December 21, 2023
Ten quick tips for fuzzy logic modeling of biomedical systemsDavide Chicco, Simone Spolaor, Marco S NobilePeerj. Computer Science|July 26, 2021
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluationDavide Chicco, Matthijs J Warrens, Giuseppe JurmanPlos Computational Biology|July 20, 2023
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environmentDavide Chicco, Umberto Ferraro Petrillo, Giuseppe CattaneoBiodata Mining|November 4, 2022
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learningDavide Chicco, Abbas Alameer, Sara Rahmati, et al.Pageof 8