A novel locally linear embedding and wavelet transform based encoding method for prediction of MHC-II binding affinity

Interdisciplinary Sciences – Computational Life Sciences

Volumn 2, Issue 2, 2010, Pages 145-150

  Liu, Juan ^a   Li, Qing Jiao ^a   Zhang, Wen ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

cellular immunity; encoding method; epitopes; Locally Linear Embedding; MHC II binding affinity; support vector machine regression; Wavelet Transform

Indexed keywords

AMINO ACID; EPITOPE; HLA ANTIGEN CLASS 2; PEPTIDE;

ALGORITHM; ANIMAL; ARTICLE; BINDING SITE; BIOLOGY; CHEMISTRY; COMPUTER SIMULATION; FACTUAL DATABASE; HUMAN; IMMUNOLOGY; METHODOLOGY; MOUSE; PROTEIN BINDING; REGRESSION ANALYSIS; SEQUENCE ANALYSIS;

ALGORITHMS; AMINO ACIDS; ANIMALS; BINDING SITES; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, FACTUAL; EPITOPES; HISTOCOMPATIBILITY ANTIGENS CLASS II; HUMANS; MICE; PEPTIDES; PROTEIN BINDING; REGRESSION ANALYSIS; SEQUENCE ANALYSIS, PROTEIN;

EID: 77956814787     PISSN: 19132751     EISSN: 18671462     Source Type: Journal    
DOI: 10.1007/s12539-010-0075-0     Document Type: Article

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