Using ensemble methods to deal with imbalanced data in predicting protein-protein interactions

DOI10.1016/j.compbiolchem.2011.12.003zbMath1244.92023OpenAlexW2065806863WikidataQ34143898 ScholiaQ34143898MaRDI QIDQ441746

J. Herrera, H. S. Yoon

Publication date: 7 August 2012

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2011.12.003

Mathematics Subject Classification ID

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

Related Items (1)

Random forest based multiclass classification approach for highly skewed particle data

Uses Software

• Cd-hit
• Hum-mPLoc

Cites Work

• Bagging predictors
• Two Modifications of CNN
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