Application of machine learning techniques in predicting MHC binders.

Methods in molecular biology (Clifton, N.J.)

Volumn 409, Issue , 2007, Pages 201-215

  Lata, Sneh ^a   Bhasin, Manoj ^a   Raghava, Gajendra P S ^a  

^a INSTITUTE OF MICROBIAL TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EPITOPE; HLA ANTIGEN;

ALLELE; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BINDING SITE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; CLASSIFICATION; COMPUTER SIMULATION; GENE; GENETICS; HUMAN; IMMUNOGENETICS; INTERNET; MAJOR HISTOCOMPATIBILITY COMPLEX; METABOLISM; MOLECULAR GENETICS; PROTEIN BINDING;

ALLELES; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; BINDING SITES; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; EPITOPES, T-LYMPHOCYTE; GENES, MHC CLASS I; GENES, MHC CLASS II; HLA ANTIGENS; HUMANS; IMMUNOGENETICS; INTERNET; MAJOR HISTOCOMPATIBILITY COMPLEX; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); PROTEIN BINDING;

MLCS; MLOWN;

EID: 44649167715     PISSN: 10643745     EISSN: None     Source Type: Journal    
DOI: 10.1007/978-1-60327-118-9_14     Document Type: Article

References (0)