Comparison study of two kernel-based learning algorithms for predicting the distance range between antibody interface residues and antigen surface

DOI10.1080/00207160701286133zbMath1114.92032OpenAlexW2125494469MaRDI QIDQ5294696

Yi Peng, Yong Shi, Gang Kou, Jia Wan, Xinyang Zhang, Yajun Guo

Publication date: 25 July 2007

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160701286133

zbMATH Keywords

cross-validationsupport vector machineantibodyantigenmultiple criteria quadratic programming

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05) Quadratic programming (90C20) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Related Items (1)

PATTERN RECOGNITION OF LONGITUDINAL TRIAL DATA WITH NONIGNORABLE MISSINGNESS: AN EMPIRICAL CASE STUDY

Cites Work

• Unnamed Item
• Discovering credit cardholder's behavior by multiple criteria linear programming
• Possibilities of constructing two dimensional pictures in DNA computing: Part II
• Mathematical Programming for Data Mining: Formulations and Challenges
• Possibilities of constructing two dimensional pictures in DNA computing: Part I

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