Efficiency analysis of KNN and minimum distance-based classifiers in enzyme family prediction

DOI10.1016/j.compbiolchem.2009.09.002zbMath1403.92215OpenAlexW2055903902WikidataQ44441575 ScholiaQ44441575MaRDI QIDQ1631144

Cagin Kandemir-Cavas, Efendi N. Nasibov

Publication date: 5 December 2018

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

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2009.09.002

zbMATH Keywords

amino acid composition\(K\)-nearest neighborenzyme classminimum-distance classifier

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20) Computational methods for problems pertaining to biology (92-08)

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Cites Work

• Protein subcellular location prediction using optimally weighted fuzzy \(k\)-NN algorithm
• Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition

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