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Davide Chicco

BioData mining

Showing results (1-10 of 15) with videos related to

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Biodata Mining|December 14, 2017
Ten quick tips for machine learning in computational biologyDavide Chicco
Biodata Mining|February 4, 2021
Data analytics and clinical feature ranking of medical records of patients with sepsisDavide Chicco, Luca Oneto
Biodata Mining|February 21, 2023
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classificationDavide Chicco, Giuseppe Jurman
Biodata Mining|September 3, 2024
Seven quick tips for gene-focused computational pangenomic analysisVincenzo Bonnici, Davide Chicco
Biodata Mining|February 24, 2023
Ten simple rules for providing bioinformatics support within a hospitalDavide Chicco, Giuseppe Jurman
Biodata Mining|August 20, 2025
A simple guide to the use of Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatisticsDavide Chicco, Andrea Sichenze, Giuseppe Jurman
Biodata Mining|January 9, 2025
The Venus score for the assessment of the quality and trustworthiness of biomedical datasetsDavide Chicco, Alessandro Fabris, Giuseppe Jurman
Biodata Mining|June 12, 2025
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastomaDavide Chicco, Luca Oneto, Davide Cangelosi
Biodata Mining|March 27, 2026
DBSCAN applied to EHRs data from patients with glioblastoma clusters patients based on cytosolic Hsp70 protein, sex, and brain subventricular zoneDavide Chicco, Srinjoy Dora, Luca Oneto
Biodata Mining|February 5, 2021
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluationDavide Chicco, Niklas Tötsch, Giuseppe Jurman
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Biodata Mining|December 14, 2017
Ten quick tips for machine learning in computational biologyDavide Chicco
Biodata Mining|February 4, 2021
Data analytics and clinical feature ranking of medical records of patients with sepsisDavide Chicco, Luca Oneto
Biodata Mining|February 21, 2023
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classificationDavide Chicco, Giuseppe Jurman
Biodata Mining|September 3, 2024
Seven quick tips for gene-focused computational pangenomic analysisVincenzo Bonnici, Davide Chicco
Biodata Mining|February 24, 2023
Ten simple rules for providing bioinformatics support within a hospitalDavide Chicco, Giuseppe Jurman
Biodata Mining|August 20, 2025
A simple guide to the use of Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatisticsDavide Chicco, Andrea Sichenze, Giuseppe Jurman
Biodata Mining|January 9, 2025
The Venus score for the assessment of the quality and trustworthiness of biomedical datasetsDavide Chicco, Alessandro Fabris, Giuseppe Jurman
Biodata Mining|June 12, 2025
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastomaDavide Chicco, Luca Oneto, Davide Cangelosi
Biodata Mining|March 27, 2026
DBSCAN applied to EHRs data from patients with glioblastoma clusters patients based on cytosolic Hsp70 protein, sex, and brain subventricular zoneDavide Chicco, Srinjoy Dora, Luca Oneto
Biodata Mining|February 5, 2021
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluationDavide Chicco, Niklas Tötsch, Giuseppe Jurman
Pageof 2