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Biodata Mining|December 14, 2017
Ten quick tips for machine learning in computational biologyDavide ChiccoMethods in Molecular Biology (Clifton, N.J.)|December 13, 2021
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO)Davide ChiccoBiodata Mining|September 3, 2024
Seven quick tips for gene-focused computational pangenomic analysisVincenzo Bonnici, Davide ChiccoPlos Computational Biology|April 14, 2025
A teaching proposal for a short course on biomedical data scienceDavide Chicco, Vasco CoelhoBMC Genomics|January 4, 2020
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluationDavide Chicco, Giuseppe JurmanMethods in Molecular Biology (Clifton, N.J.)|March 18, 2021
Brief Survey on Machine Learning in EpistasisDavide Chicco, Trent FaultlessBiodata Mining|February 21, 2023
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classificationDavide Chicco, Giuseppe JurmanScientific Reports|October 14, 2020
Survival prediction of patients with sepsis from age, sex, and septic episode number aloneDavide Chicco, Giuseppe JurmanPlos Computational Biology|January 5, 2023
Ten quick tips for computational analysis of medical imagesDavide Chicco, Rakesh ShiradkarPlos Computational Biology|August 11, 2022
Nine quick tips for pathway enrichment analysisDavide Chicco, Giuseppe AgapitoPageof 8