Gaussian process: A promising approach for the modeling and prediction of peptide binding affinity to MHC proteins

Protein and Peptide Letters

Volumn 18, Issue 7, 2011, Pages 670-678

  Ren, Yanrong ^a   Chen, Xiaolin ^a   Feng, Ming ^a   Wang, Qiang ^a   Zhou, Peng ^b  

^a CHONGQING UNIVERSITY OF EDUCATION   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Gaussian process; MHC protein; Peptide epitope; Statistical modeling

Indexed keywords

PEPTIDE;

ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; HUMAN; MAJOR HISTOCOMPATIBILITY COMPLEX; METABOLISM; PROTEIN BINDING; STATISTICAL MODEL;

ARTIFICIAL INTELLIGENCE; BAYES THEOREM; HUMANS; MAJOR HISTOCOMPATIBILITY COMPLEX; MODELS, STATISTICAL; PEPTIDES; PROTEIN BINDING;

EID: 79955756061     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986611795445978     Document Type: Article

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