Predicting protein n-glycosylation by combining functional domain and secretion information

Journal of Biomolecular Structure and Dynamics

Volumn 25, Issue 1, 2007, Pages 49-54

  Li, Sujun ^a   Liu, Boshu ^a   Cai, Yudong ^a,b   Li, Yixue ^a  

^a Shanghai Jiao Tong University Affiliated Sixth People s Hospital   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Bioinformatics; Domain; N glycosylation; Partial least squares; PLS; Prediction; Secreted protein; Support Vector Machine; SVM

Indexed keywords

ACCURACY; ARTICLE; CALCULATION; EVALUATION; GLYCOSYLATION; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; PROTEIN DOMAIN; PROTEIN SECRETION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 34547224599     PISSN: 07391102     EISSN: 15380254     Source Type: Journal    
DOI: 10.1080/07391102.2007.10507154     Document Type: Article

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