Predicting class I Major Histocompatibility Complex (MHC) binders using multivariate statistics: Comparison of discriminant analysis and multiple linear regression

Journal of Chemical Information and Modeling

Volumn 47, Issue 1, 2007, Pages 234-238

  Doytchinova, Irini A ^a   Flower, Darren R ^b  

^a MEDICAL UNIVERSITY OF SOFIA   (Bulgaria)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANTIGENS; CELLS; COMPLEXATION; REGRESSION ANALYSIS; VACCINES;

BINDING AFFINITY PREDICTION; CROSS VALIDATION; HISTOCOMPATIBILITY COMPLEX (MHC); MULTIPLE LINEAR REGRESSION;

PROTEINS;

EPITOPE; HLA A ANTIGEN; HLA A*0201 ANTIGEN; HLA ANTIGEN CLASS 1; HLA-A*0201 ANTIGEN; UNCLASSIFIED DRUG;

ARTICLE; BIOLOGY; CHEMISTRY; COMPARATIVE STUDY; DISCRIMINANT ANALYSIS; EVALUATION; HUMAN; METABOLISM; MULTIVARIATE ANALYSIS; PROTEIN BINDING; REGRESSION ANALYSIS; STATISTICAL MODEL;

COMPUTATIONAL BIOLOGY; DISCRIMINANT ANALYSIS; EPITOPES, T-LYMPHOCYTE; HISTOCOMPATIBILITY ANTIGENS CLASS I; HLA-A ANTIGENS; HUMANS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PROTEIN BINDING; REGRESSION ANALYSIS;

EID: 33846855358     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci600318z     Document Type: Article

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