Predict collagen hydroxyproline sites using support vector machines

Journal of Computational Biology

Volumn 16, Issue 5, 2009, Pages 691-702

  Yang, Zheng Rong ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Algorithms; Combinatorial proteomics; Learning; Machine learning; Proteins

Indexed keywords

COLLAGEN; HYDROXYPROLINE;

AMINO ACID SEQUENCE; ARTICLE; EXPERIMENTAL DESIGN; KERNEL METHOD; PRIORITY JOURNAL; PROTEIN PROCESSING; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; COLLAGEN; HYDROXYPROLINE; MATHEMATICS; MODELS, CHEMICAL; MOLECULAR SEQUENCE DATA; PEPTIDES; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, PROTEIN;

EID: 67649268427     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2008.0167     Document Type: Article

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