MHC2MIL: A novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions

BMC Genomics

Volumn 15, Issue , 2014, Pages

  Xu, Yichang ^a   Luo, Cheng ^a   Qian, Mingjie ^b   Huang, Xiaodi ^c   Zhu, Shanfeng ^a  

^a FUDAN UNIVERSITY   (China)

^b University of Illinois at Urbana Champaign   (United States)

^c CHARLES STURT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; HLA ANTIGEN; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 2; HLA ANTIGEN CLASS 2; PEPTIDE; PROTEIN BINDING;

ALLELE; ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; DNA FLANKING REGION; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MHC2MIL; PREDICTION; PROTEIN BINDING; QUALITY CONTROL; SEQUENCE ALIGNMENT; STATISTICAL SIGNIFICANCE; VALIDATION STUDY; ARTIFICIAL INTELLIGENCE; BIOLOGY; CHEMISTRY; GENETICS; HUMAN; METABOLISM; PROCEDURES;

ALLELES; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; HISTOCOMPATIBILITY ANTIGENS CLASS II; HUMANS; PEPTIDES; PROTEIN BINDING;

EID: 84939550695     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-15-S9-     Document Type: Article

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