Better Prediction of Protein Cellular Localization Sites with the k Nearest Neighbors Classifier

Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology, ISMB 1997

Volumn , Issue , 1997, Pages 147-152

  Horton, Paul ^a   Nakai, Kenta ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b OSAKA UNIVERSITY   (Japan)

Author keywords

Classification; E.coli; k Nearest Neighbor Classifier; Protein Localization; Yeast

Indexed keywords

BINARY TREES; DECISION TREES; ESCHERICHIA COLI; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; PROTEINS;

BAYES CLASSIFIER; BINARY DECISION TREES; CELLULAR LOCALIZATION; DECISION TREE CLASSIFIERS; DERIVED FEATURES; E. COLI; K-NEAREST NEIGHBORS CLASSIFIERS; LOCALIZATION PROBLEMS; PROTEIN CELLULAR LOCALIZATION; PROTEIN LOCALIZATION;

YEAST;

BACTERIAL PROTEIN; FUNGAL PROTEIN; PROTEIN;

ALGORITHM; ARTICLE; BAYES THEOREM; BINDING SITE; CELL FRACTIONATION; CHEMISTRY; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER PROGRAM; DECISION TREE; ESCHERICHIA COLI; EVALUATION; FACTUAL DATABASE; METABOLISM; SACCHAROMYCES CEREVISIAE; SEQUENCE ALIGNMENT;

ALGORITHMS; BACTERIAL PROTEINS; BAYES THEOREM; BINDING SITES; DATABASES, FACTUAL; DECISION TREES; ESCHERICHIA COLI; EVALUATION STUDIES; FUNGAL PROTEINS; PROTEINS; SACCHAROMYCES CEREVISIAE; SEQUENCE ALIGNMENT; SOFTWARE; SUBCELLULAR FRACTIONS;

EID: 0030624540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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