Davide Chicco

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Topics

Gene Expression

Correlation Coefficient

Cardiovascular Disease

Top Venues

PLoS Comput. Biol.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Gabriel Cerono, Davide Chicco
Ensemble machine learning reveals key features for diabetes duration from electronic health records. PeerJ Comput. Sci. 10 (2024)
Gabriel Cerono, Ombretta Melaiu, Davide Chicco
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme. J. Heal. Informatics Res. 8 (1) (2024)
Davide Chicco, Fabio Cumbo, Claudio Angione
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses. PLoS Comput. Biol. 19 (7) (2023)
Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Luca Serino, Francesca Gasparini, Davide Chicco
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques. AIxAS@AI*IA (2023)
Davide Chicco, Tiziana Sanavia, Giuseppe Jurman
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. BioData Min. 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. BioData Min. 16 (1) (2023)
Davide Chicco, Rakesh Shiradkar
Ten quick tips for computational analysis of medical images. PLoS Comput. Biol. 19 (1) (2023)
Davide Chicco, Simone Spolaor, Marco S. Nobile
Ten quick tips for fuzzy logic modeling of biomedical systems. PLoS Comput. Biol. 19 (12) (2023)
Davide Chicco, Giuseppe Jurman
Ten simple rules for providing bioinformatics support within a hospital. BioData Min. 16 (1) (2023)
Davide Chicco, Giuseppe Jurman
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index. J. Biomed. Informatics 144 (2023)
Davide Chicco, Umberto Ferraro Petrillo, Giuseppe Cattaneo
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment. PLoS Comput. Biol. 19 (7) (2023)
Davide Chicco, Giuseppe Jurman
A brief survey of tools for genomic regions enrichment analysis. Frontiers Bioinform. 2 (2022)
Davide Chicco, Giuseppe Jurman
The ABC recommendations for validation of supervised machine learning results in biomedical sciences. Frontiers Big Data 5 (2022)
Abbas Alameer, Davide Chicco
geoCancerPrognosticDatasetsRetriever: a bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO). Bioinform. 38 (6) (2022)
Davide Chicco, Giuseppe Agapito
Nine quick tips for pathway enrichment analysis. PLoS Comput. Biol. 18 (8) (2022)
Davide Chicco, Philip E. Bourne
Ten simple rules for organizing a special session at a scientific conference. PLoS Comput. Biol. 18 (8) (2022)
Davide Chicco, Luca Oneto, Erica Tavazzi
Eleven quick tips for data cleaning and feature engineering. PLoS Comput. Biol. 18 (12) (2022)
Davide Chicco, Gabriel Cerono, Davide Cangelosi
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma. Data Sci. J. 21 (2022)
Davide Chicco, Abbas Alameer, Sara Rahmati, Giuseppe Jurman
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning. BioData Min. 15 (1) (2022)
Davide Chicco, Giuseppe Jurman
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence. Frontiers Robotics AI 9 (2022)
Davide Chicco, Luca Oneto
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Davide Chicco, Giuseppe Jurman
Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease. IEEE Access 9 (2021)
Davide Chicco, Niklas Tötsch, Giuseppe Jurman
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation. BioData Min. 14 (1) (2021)
Davide Chicco, Giuseppe Jurman
An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis. IEEE Access 9 (2021)
Davide Chicco, Christopher A. Lovejoy, Luca Oneto
A Machine Learning Analysis of Health Records of Patients With Chronic Kidney Disease at Risk of Cardiovascular Disease. IEEE Access 9 (2021)
Davide Chicco, Luca Oneto
Data analytics and clinical feature ranking of medical records of patients with sepsis. BioData Min. 14 (1) (2021)
Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ Comput. Sci. 7 (2021)
Davide Chicco, Luca Oneto
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma. Health Informatics J. 27 (1) (2021)
Davide Chicco, Valery Starovoitov, Giuseppe Jurman
The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment. IEEE Access 9 (2021)
Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment. IEEE Access 9 (2021)
Chang Cao, Davide Chicco, Michael M. Hoffman
The MCC-F1 curve: a performance evaluation technique for binary classification. CoRR (2020)
Davide Chicco, Giuseppe Jurman
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, Jessica Fernandes
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis. PeerJ Comput. Sci. 4 (2018)
Davide Chicco, Fernando Palluzzi, Marco Masseroli
Novelty Indicator for Enhanced Prioritization of Predicted Gene Ontology Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Davide Chicco
Ten quick tips for machine learning in computational biology. BioData Min. 10 (1) (2017)
Davide Chicco, Marco Masseroli
Ontology-Based Prediction and Prioritization of Gene Functional Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (2) (2016)
Davide Chicco, Marco Masseroli
Software Suite for Gene and Protein Annotation Prediction and Similarity Search. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (4) (2015)
Davide Chicco, Marco Masseroli
Validation Pipeline for Computational Prediction of Genomics Annotations. CIBB (2015)
Pietro Pinoli, Davide Chicco, Marco Masseroli
Computational algorithms to predict Gene Ontology annotations. BMC Bioinform. 16 (S-6) (2015)
Davide Chicco, Eleonora Ciceri, Marco Masseroli
Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation. CIBB (2014)
Pietro Pinoli, Davide Chicco, Marco Masseroli
Latent Dirichlet Allocation based on Gibbs Sampling for gene function prediction. CIBCB (2014)
Davide Chicco, Peter J. Sadowski, Pierre Baldi
Deep autoencoder neural networks for gene ontology annotation predictions. BCB (2014)
Davide Chicco, Marco Masseroli
A discrete optimization approach for SVD best truncation choice based on ROC curves. BIBE (2013)
Pietro Pinoli, Davide Chicco, Marco Masseroli
Weighting Scheme Methods for Enhanced Genomic Annotation Prediction. CIBB (2013)
Pietro Pinoli, Davide Chicco, Marco Masseroli
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations. BIBE (2013)
Marco Masseroli, Davide Chicco, Pietro Pinoli
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations. IJCNN (2012)
Davide Chicco, Marco Tagliasacchi, Marco Masseroli
Genomic Annotation Prediction Based on Integrated Information. CIBB (2011)
Marco Masseroli, Marco Tagliasacchi, Davide Chicco
Semantically improved genome-wide prediction of Gene Ontology annotations. ISDA (2011)
Davide Chicco, Marina Resta
An intraday trading model based on Artificial Immune Systems. WIRN (2010)