Prediction of T-cell epitopes based on least squares support vector machines and amino acid properties

Analytica Chimica Acta

Volumn 584, Issue 1, 2007, Pages 37-42

  Li, Shuyan ^a   Yao, Xiaojun ^a   Liu, Huanxiang ^a   Li, Jiazhong ^a   Fan, Botao ^b  

^a LANZHOU UNIVERSITY   (China)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

Classification; Least squares support vector machines; ROC curve; T cell epitopes

Indexed keywords

AMINO ACIDS; IMMUNOLOGY; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS;

LEAST SQUARES SUPPORT VECTOR MACHINES; ROC CURVE; T-CELL EPITOPES;

CELLS;

AMINO ACID; EPITOPE; MAJOR HISTOCOMPATIBILITY ANTIGEN; T LYMPHOCYTE RECEPTOR;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; EVALUATION; LEAST SQUARE SUPPORT VECTOR MACHINE; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; ROC CURVE; SEQUENCE ANALYSIS; T LYMPHOCYTE; VALIDATION PROCESS;

AMINO ACIDS; CODON; EPITOPES; GENETIC VECTORS; HUMANS; LEAST-SQUARES ANALYSIS; MOLECULAR WEIGHT; PEPTIDES; SOLUBILITY; T-LYMPHOCYTES; T-LYMPHOCYTES, CYTOTOXIC;

EID: 33846268350     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2006.11.037     Document Type: Article

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