Leveraging information across HLA alleles/supertypes improves epitope prediction

Journal of Computational Biology

Volumn 14, Issue 6, 2007, Pages 736-746

  Heckerman, David ^a   Kadie, Carl ^a   Listgarten, Jennifer ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

Classifier; Epitope; Features; Multi task; Prediction

Indexed keywords

EPITOPE; HLA ANTIGEN CLASS 1;

ALLELE; CONFERENCE PAPER; CYTOTOXIC T LYMPHOCYTE; HLA SYSTEM; IMMUNOGENETICS; LOGISTIC REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL; STATISTICAL MODEL;

ALLELES; EPITOPE MAPPING; HLA ANTIGENS; HUMANS; SELECTION (GENETICS); T-LYMPHOCYTES, CYTOTOXIC;

EID: 34547653712     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2007.R013     Document Type: Conference Paper

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