A Compendium to Ensure Computational Reproducibility in High-Dimensional Classification Tasks

DOI10.2202/1544-6115.1078zbMath1082.92025OpenAlexW1482921780WikidataQ51942775 ScholiaQ51942775MaRDI QIDQ5700488

Ulrich Mansmann, Annemarie Poustka, Markus Ruschhaupt, Wolfgang Huber

Publication date: 28 October 2005

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://www.bepress.com/sagmb/vol3/iss1/art37/

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Related Items (3)

Employing different loss functions for the classification of images via supervised learning ⋮ Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology ⋮ On the fusion of threshold classifiers for categorization and dimensionality reduction

Uses Software

• e1071
• Sweave
• RColorBrewer

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