摘要

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.

  • 出版日期2009-3-1