Prediction of B-cell linear epitopes with a combination of support vector machine classification and amino acid propensity identification

Journal of Biomedicine and Biotechnology

Volumn 2011, Issue , 2011, Pages

  Pai, Tun Wen ^a   Wang, Hsin Wei ^a   Lin, Ya Chi ^a   Chang, Hao Teng ^b  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

^b CHINA MEDICAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

EPITOPE;

ACCURACY; ANTIGEN DETECTION; ANTIGENICITY; ARTICLE; CORRELATION COEFFICIENT; INFORMATION SYSTEM; MATHEMATICAL ANALYSIS; PHYSICAL CHEMISTRY; PREDICTIVE VALUE; PREDICTOR VARIABLE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; AMINO ACID SEQUENCE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER INTERFACE; METHODOLOGY; PROTEIN DATABASE; STATISTICAL MODEL;

AMINO ACID SEQUENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; EPITOPES, B-LYMPHOCYTE; MODELS, MOLECULAR; MODELS, STATISTICAL; SUPPORT VECTOR MACHINES; USER-COMPUTER INTERFACE;

EID: 80053513645     PISSN: 11107243     EISSN: 11107251     Source Type: Journal    
DOI: 10.1155/2011/432830     Document Type: Article

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