Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine

Authors:
Wen Ju;Juan Shan;Changhui Yan;H. D. Cheng
Affiliations:
Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA;Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA;Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA;Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA
Venue:
Pattern Recognition Letters
Year:
2009

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Abstract

In this paper, we develop a multi-scale RBF kernel fuzzy support vector machine (MSKFSVM) and apply it to the identification of disease-associated non-synonymous single nucleotide polymorphisms (nsSNPs). The experimental results show that the proposed MSKFSVM outperforms the traditional SVM method.