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

Computational Biology and Chemistry

Volumn 33, Issue 6, 2009, Pages 461-464

  Nasibov, Efendi ^a   Kandemir Cavas, Cagin ^a  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

Author keywords

Amino acid composition; Enzyme class; K nearest neighbor; Minimum distance classifier

Indexed keywords

AMINO ACID COMPOSITION; AMINO ACID COMPOSITIONS; BIOLOGICAL CATALYSTS; CELLULAR REACTIONS; CLASSIFICATION ALGORITHM; DATA MINING TECHNIQUES; EFFICIENCY ANALYSIS; ENZYME SEQUENCE; EXPERIMENTAL ANALYSIS; HYDROLASES; ISOMERASES; K-NEAREST NEIGHBORS; LIGASES; MINIMUM DISTANCE; MINIMUM-DISTANCE CLASSIFIER; OXIDOREDUCTASES; PERFORMANCE MEASUREMENTS;

AMINATION; AMINES; AMINO ACIDS; CATALYSTS; CLASSIFIERS; DATA MINING; ELECTRIC CONDUCTIVITY MEASUREMENT; LEARNING SYSTEMS; ORGANIC ACIDS;

ENZYMES;

ENZYME;

ALGORITHM; ARTICLE; BIOLOGY; CHEMISTRY; CLASSIFICATION; COMPUTER SIMULATION; METHODOLOGY; PROTEIN DATABASE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, PROTEIN; ENZYMES;

EID: 70449703244     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2009.09.002     Document Type: Article

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