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Protein Secondary Structure Prediction Using Genetic Neural Support Vector Machines

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2 Author(s)
Reyaz-Ahmed, A. ; Georgia State Univ., Atlanta ; Yan-Qing Zhang

Support vector machines (SVM) have shown strong generalization ability in a number of application areas, including protein structure prediction. In this paper a new tertiary classifier is introduced that makes use of support vector machines as neurons in a neural network architecture. This network is optimized using genetic algorithms. The novel tertiary classifier is better than most available techniques.

Published in:

Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on

Date of Conference:

14-17 Oct. 2007