Article ID Journal Published Year Pages File Type
534742 Pattern Recognition Letters 2009 6 Pages PDF
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.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
Preview
Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine
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