D. Chicco

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Aliases
D Chicco, Davide Chicco
Publication record
82 papers · 15,045 citations · H-index 27

PAPERS

Predicting the toxicity of chemical compounds via Hyperdimensional Computing
20252 citationsauthor #5
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets
20258 citationsauthor #1
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics
202532 citationsauthor #1
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters
20251 citationsauthor #1
A novel Vector-Symbolic Architecture for graph encoding and its application to viral pangenome-based species classification
20252 citationsauthor #4
Ten quick tips for computational analysis of medical images
202313 citationsauthor #1
Ten quick tips for fuzzy logic modeling of biomedical systems
20236 citationsauthor #1
Ten simple rules for providing bioinformatics support within a hospital
20238 citationsauthor #1
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment
20235 citationsauthor #1
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index
202344 citationsauthor #1
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme
202312 citationsauthor #3
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma
202312 citationsauthor #1
Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction.
20236 citationsauthor #1
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses
202326 citationsauthor #1
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
2023437 citationsauthor #1
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence
202227 citationsauthor #1
Nine quick tips for pathway enrichment analysis
202259 citationsauthor #1
A brief survey of tools for genomic regions enrichment analysis
202213 citationsauthor #1
Eleven quick tips for data cleaning and feature engineering
202248 citationsauthor #1
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma
20229 citationsauthor #1
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning
20225 citationsauthor #1
The ABC recommendations for validation of supervised machine learning results in biomedical sciences
202212 citationsauthor #1
Ten simple rules for organizing a special session at a scientific conference
20221 citationsauthor #1
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
2021730 citationsauthor #1
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
20213,965 citationsauthor #1
Brief Survey on Machine Learning in Epistasis.
20215 citationsauthor #1
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma
202119 citationsauthor #1
geoCancerPrognosticDatasetsRetriever: a bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO)
202116 citationsauthor #2
MACHINE LEARNING COMPARED TO CONVENTIONAL STATISTICAL MODELS FOR PREDICTING MYOCARDIAL INFARCTION READMISSION AND MORTALITY: A SYSTEMATIC REVIEW.
202150 citationsauthor #5
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment
2021297 citationsauthor #1
The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment
202184 citationsauthor #1
An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis
202134 citationsauthor #1
A machine learning analysis of health records of patients with chronic kidney disease at risk of cardiovascular disease
202125 citationsauthor #1
Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease
20218 citationsauthor #1
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO).
202121 citationsauthor #1
Data analytics and clinical feature ranking of medical records of patients with sepsis
202117 citationsauthor #1
Siamese Neural Networks: An Overview
2021604 citationsauthor #1
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data
202017 citationsauthor #1
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
20204,864 citationsauthor #1
Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies
20206 citationsauthor #1
The MCC-F1 curve: a performance evaluation technique for binary classification
202059 citationsauthor #2
Survival prediction of patients with sepsis from age, sex, and septic episode number alone
202058 citationsauthor #1
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
2020500 citationsauthor #1
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality
2020149 citationsauthor #7
COMPARISON OF MACHINE LEARNING (ML) METHODS WITH CONVENTIONAL STATISTICAL MODELS (CSM) FOR PREDICTION OF MORTALITY IN MYOCARDIAL INFARCTION (MI) PATIENTS
20200 citationsauthor #8
Computational prediction of diagnosis and feature selection on mesothelioma patient health records
201961 citationsauthor #1
Biological and Medical Ontologies: Protein Ontology (PRO)
20190 citationsauthor #1
BEHST: genomic set enrichment analysis enhanced through integration of chromatin long-range interactions
201910 citationsauthor #1
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
201863 citationsauthor #34
Novelty Indicator for Enhanced Prioritization of Predicted Gene Ontology Annotations
20182 citationsauthor #1
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
201885 citationsauthor #2
Bioconda: sustainable and comprehensive software distribution for the life sciences
20181,381 citationsauthor #116
Ten quick tips for machine learning in computational biology
2017760 citationsauthor #1
Genome Informatics 2016
20171 citationsauthor #1
Semi-automated genome annotation using epigenomic data and Segway
20163 citationsauthor #7
Ontology-Based Prediction and Prioritization of Gene Functional Annotations
201621 citationsauthor #1
Validation Procedures for Predicted Gene Ontology Annotations
20151 citationsauthor #1
Computational algorithms to predict Gene Ontology annotations
201528 citationsauthor #2
Validation Pipeline for Computational Prediction of Genomics Annotations
20152 citationsauthor #1
Software Suite for Gene and Protein Annotation Prediction and Similarity Search
201532 citationsauthor #1
Computational Prediction of Gene Functions through Machine Learning methods and Multiple Validation Procedures
20140 citationsauthor #1
Correlation of gene function annotation lists through enhanced Spearman and Kendall measures
20140 citationsauthor #1
Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation
20149 citationsauthor #1
Latent Dirichlet Allocation based on Gibbs Sampling for gene function prediction
201435 citationsauthor #2
Deep autoencoder neural networks for gene ontology annotation predictions
2014197 citationsauthor #1
Improved Biomolecular Annotation Prediction through Weighting Scheme Methods
20136 citationsauthor #2
A discrete optimization approach for SVD best truncation choice based on ROC curves
201321 citationsauthor #1
Weighting Scheme Methods for Enhanced Genomic Annotation Prediction
20139 citationsauthor #2
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations
201325 citationsauthor #2
Truncated SVD best rank choice through ROC curves for genomic annotation prediction
20120 citationsauthor #1
Integration of Bioinformatics Web Services through the Search Computing Technology MINOR RESEARCH REPORT
20126 citationsauthor #1
Genome-wide annotation prediction with SVD truncation based on ROC analysis
20120 citationsauthor #1
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations
201240 citationsauthor #2
Computational Intelligence Methods for Bioinformatics and Biostatistics
20120 citationsauthor #28
Support Vector Machines in Bioinformatics: a Survey
20128 citationsauthor #1
Semantically improved genome-wide prediction of Gene Ontology annotations
201110 citationsauthor #3
Biomolecular annotation prediction through information integration
20116 citationsauthor #1
An intraday trading model based on Artificial Immune Systems
20112 citationsauthor #1
Genomic Annotation Prediction Based on Integrated Information
201112 citationsauthor #1
Prediction of Gene Ontology annotations using improved Single Value Decomposition methods
20100 citationsauthor #3
supp1-3133700.pdf
year unknown0 citationsauthor #1
The coeﬃcient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE, and RMSE in regression evaluation (#59328)
year unknown0 citationsauthor #1

TIMELINE

2010 0 citations

2011 30 citations

2012 54 citations

2013 61 citations

2014 241 citations

2015 63 citations

2016 24 citations

2017 761 citations

2018 1,531 citations

2019 71 citations

2020 5,653 citations

2021 5,875 citations

2022 174 citations

2023 569 citations

2025 45 citations

Unknown 0 citations

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