Protein subcellular location prediction using optimally weighted fuzzy \(k\)-NN algorithm

DOI10.1016/j.compbiolchem.2008.07.011zbMath1158.92310OpenAlexW2025383901WikidataQ51870745 ScholiaQ51870745MaRDI QIDQ1004966

Cagin Kandemir-Cavas, Efendi N. Nasibov

Publication date: 12 March 2009

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

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2008.07.011

zbMATH Keywords

jackknife testamino acid compositionoptimally weighted fuzzy \(k\)-nearest neighborsubcellular location

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Related Items (2)

Efficiency analysis of KNN and minimum distance-based classifiers in enzyme family prediction ⋮ Uncertainty, imprecision, and many-valued logics in protein bioinformatics

Cites Work

• Unnamed Item
• Prediction of protein subcellular location using hydrophobic patterns of amino acid sequence
• Using nearest feature line and tunable nearest neighbor methods for prediction of protein subcellular locations
• Discovering Knowledge in Data

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