Dana-Farber repository for machine learning in immunology

Journal of Immunological Methods

Volumn 374, Issue 1-2, 2011, Pages 18-25

  Zhang, Guang Lan ^a   Lin, Hong Huang ^a,b   Keskin, Derin B ^a   Reinherz, Ellis L ^a   Brusic, Vladimir ^a  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Data repository; HLA binding; Immune system; Mathematical model; Prediction; T cell epitope

Indexed keywords

BINDING PROTEIN; EPITOPE; HLA A2 ANTIGEN; HLA ANTIGEN; HLA ANTIGEN CLASS 2; HLA DR ANTIGEN; VIRUS ANTIGEN;

AMINO ACID SEQUENCE; ARTICLE; BINDING AFFINITY; CLINICAL DATA REPOSITORY; CLINICAL IMMUNOLOGY; ENZYME LINKED IMMUNOSORBENT ASSAY; GENE LINKAGE DISEQUILIBRIUM; HAPLOTYPE; HLA SYSTEM; MACHINE LEARNING; MAJOR HISTOCOMPATIBILITY COMPLEX; MOLECULAR RECOGNITION; NONHUMAN; PEPTIDE MAPPING; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN PROTEIN INTERACTION; QUANTITATIVE ANALYSIS; SAMPLE SIZE; SEQUENCE ANALYSIS; STANDARDIZATION; T LYMPHOCYTE; TARGET CELL; VALIDATION STUDY;

ACADEMIES AND INSTITUTES; ALGORITHMS; ALLERGY AND IMMUNOLOGY; ARTIFICIAL INTELLIGENCE; BOSTON; DATABASES, FACTUAL; EPITOPE MAPPING; EPITOPES, T-LYMPHOCYTE; HLA ANTIGENS; HUMANS; PEPTIDES; PROTEIN BINDING;

EID: 81255136087     PISSN: 00221759     EISSN: 18727905     Source Type: Journal    
DOI: 10.1016/j.jim.2011.07.007     Document Type: Article

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