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Ten quick tips for machine learning in computational biology

BioData mining, 2017-12, Vol.10 (1), p.35-35, Article 35

Chicco, Davide

2017

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The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

BMC genomics, 2020-01, Vol.21 (1), p.6-6, Article 6

2020

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Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

BMC medical informatics and decision making, 2020-02, Vol.20 (1), p.16-16, Article 16

2020

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The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

BioData mining, 2023-02, Vol.16 (1), p.4-23, Article 4

2023

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The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

BioData mining, 2021-02, Vol.14 (1), p.13-13, Article 13

2021

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The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

PeerJ. Computer science, 2021-07, Vol.7, p.e623-e623, Article e623

2021

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Ten quick tips for computational analysis of medical images

PLoS computational biology, 2023-01, Vol.19 (1), p.e1010778-e1010778

2023

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Computational prediction of diagnosis and feature selection on mesothelioma patient health records

PloS one, 2019-01, Vol.14 (1), p.e0208737-e0208737

2019

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Nine quick tips for pathway enrichment analysis

PLoS computational biology, 2022-08, Vol.18 (8), p.e1010348-e1010348

2022

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The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment

IEEE access, 2021, Vol.9, p.78368-78381

2021

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Siamese Neural Networks: An Overview

Methods in molecular biology (Clifton, N.J.), 2021-01, Vol.2190, p.73

Chicco, Davide

2021

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Survival prediction of patients with sepsis from age, sex, and septic episode number alone

Scientific reports, 2020-10, Vol.10 (1), p.17156-17156, Article 17156

2020

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Ten quick tips for avoiding pitfalls in multi-omics data integration analyses

PLoS computational biology, 2023-07, Vol.19 (7), p.e1011224-e1011224

2023

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Eleven quick tips for data cleaning and feature engineering

PLoS computational biology, 2022-12, Vol.18 (12), p.e1010718

2022

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The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment

IEEE access, 2021, Vol.9, p.47112-47124

2021

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An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis

IEEE access, 2021, Vol.9, p.24485-24498

2021

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Ten simple rules for organizing a special session at a scientific conference

PLoS computational biology, 2022-08, Vol.18 (8), p.e1010395-e1010395

2022

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Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment

PLoS computational biology, 2023-07, Vol.19 (7), p.e1011272-e1011272

2023

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Seven quick tips for gene-focused computational pangenomic analysis

BioData mining, 2024-09, Vol.17 (1), p.28-14, Article 28

2024

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Data analytics and clinical feature ranking of medical records of patients with sepsis

BioData mining, 2021-02, Vol.14 (1), p.12-12, Article 12

2021

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An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence

Frontiers in robotics and AI, 2022-03, Vol.9, p.876814-876814

2022

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Ten quick tips for fuzzy logic modeling of biomedical systems

PLoS computational biology, 2023-12, Vol.19 (12), p.e1011700-e1011700

2023

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Ten simple rules for providing bioinformatics support within a hospital

BioData mining, 2023-02, Vol.16 (1), p.6-12, Article 6

2023

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Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing

PeerJ. Computer science, 2024-09, Vol.10, p.e2256, Article e2256

2024

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Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma

Health informatics journal, 2021-01, Vol.27 (1), p.1460458220984205-1460458220984205

2021

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Ten quick tips for machine learning in computational biology

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

Ten quick tips for computational analysis of medical images

Computational prediction of diagnosis and feature selection on mesothelioma patient health records

Nine quick tips for pathway enrichment analysis

The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment

Siamese Neural Networks: An Overview

Survival prediction of patients with sepsis from age, sex, and septic episode number alone

Ten quick tips for avoiding pitfalls in multi-omics data integration analyses

Eleven quick tips for data cleaning and feature engineering

The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment

An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis

Ten simple rules for organizing a special session at a scientific conference

Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment

Seven quick tips for gene-focused computational pangenomic analysis

Data analytics and clinical feature ranking of medical records of patients with sepsis

An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence

Ten quick tips for fuzzy logic modeling of biomedical systems

Ten simple rules for providing bioinformatics support within a hospital

Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing

Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma

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