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

Computational Biology and Chemistry

Volumn 32, Issue 6, 2008, Pages 448-451

  Nasibov, Efendi ^a   Kandemir Cavas, Cagin ^a  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

Author keywords

Amino acid composition; Jackknife test; Optimally weighted fuzzy k nearest neighbor; Subcellular location

Indexed keywords

AMINATION; AMINES; AMINO ACIDS; BOOLEAN FUNCTIONS; CONTROL THEORY; FORECASTING; FUZZY CONTROL; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; ORGANIC ACIDS; TEXT PROCESSING;

ALTERNATIVE METHODS; AMINO ACID COMPOSITION; AMINO ACID COMPOSITIONS; DATASETS; EUKARYOTIC PROTEINS; EUKARYOTIC SEQUENCES; JACKKNIFE TEST; K-NEAREST NEIGHBORS; NN ALGORITHMS; OPTIMALLY WEIGHTED FUZZY K-NEAREST NEIGHBOR; OTHER ALGORITHMS; PREDICTION ACCURACIES; PROTEIN LOCALIZATIONS; PROTEIN SUBCELLULAR LOCATIONS; SUBCELLULAR LOCATION; SUBCELLULAR LOCATIONS;

LOCATION;

PROTEIN;

ALGORITHM; ARTICLE; CELL FRACTIONATION; FUZZY LOGIC; METABOLISM;

ALGORITHMS; FUZZY LOGIC; PROTEINS; SUBCELLULAR FRACTIONS;

EUKARYOTA; PROKARYOTA;

EID: 54149090595     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2008.07.011     Document Type: Article

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