Davide Chicco
Title
Cited by
Cited by
Year
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
5352020
Ten quick tips for machine learning in computational biology
D Chicco
BioData Mining 10 (35), 1-17, 2017
4472017
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
4172018
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
1752014
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
1092019
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
D Chicco, G Jurman
BMC Medical Informatics and Decision Making 20 (16), 1-16, 2020
632020
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
432012
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
382014
Siamese neural networks: an overview
D Chicco
Artificial Neural Networks, 3rd edition (Methods in Molecular Biology) 2190 …, 2020
362020
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
322018
Computational prediction of diagnosis and feature selection on mesothelioma patient health records
D Chicco, C Rovelli
PLoS ONE 14 (1), e0208737, 2019
262019
Computational algorithms to predict Gene Ontology annotations
P Pinoli, D Chicco, M Masseroli
BMC Bioinformatics 16 (Suppl 6), S4, 2015
232015
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
222013
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
202013
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
192019
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
182018
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
D Chicco, N Tötsch, G Jurman
BioData Mining 14 (13), 1-22, 2021
152021
Ontology-based prediction and prioritization of gene functional annotations
D Chicco, M Masseroli
IEEE/ACM Transactions on Computational Biology and Bioinformatics 13 (2 …, 2016
142016
Genomic annotation prediction based on integrated information
D Chicco, M Tagliasacchi, M Masseroli
Computational Intelligence Methods for Bioinformatics and Biostatistics 7548 …, 2011
142011
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
132015
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