Efficient use of unlabeled data for protein sequence classification: A comparative study

BMC Bioinformatics

Volumn 10, Issue SUPPL. 4, 2009, Pages

  Kuksa, Pavel ^a   Huang, Pai Hsi ^a   Pavlovic, Vladimir ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; COMPARATIVE STUDIES; COMPUTATIONAL FRAMEWORK; IMPROVE PERFORMANCE; PREDICTION ACCURACY; PROTEIN SEQUENCE ANALYSIS; PROTEIN SEQUENCE CLASSIFICATION; STATE-OF-THE-ART METHODS;

PROTEINS;

CLASSIFICATION (OF INFORMATION);

ACCURACY; AMINO ACID SEQUENCE; CLASSIFICATION; CLASSIFIER; COMPARATIVE STUDY; COMPUTER PREDICTION; CONFERENCE PAPER; CONTROLLED STUDY; KERNEL METHOD; PROTEIN FOLDING; SEQUENCE ANALYSIS; SEQUENCE DATABASE; SEQUENCE HOMOLOGY; STRUCTURAL PROTEOMICS; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CHEMISTRY; METHODOLOGY; PROTEIN DATABASE;

PROTEIN;

AMINO ACID SEQUENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; PATTERN RECOGNITION, AUTOMATED; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SEQUENCE HOMOLOGY, AMINO ACID;

EID: 65449154328     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S4-S2     Document Type: Conference Paper

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