Name
Title | ||
|---|---|---|
Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine |
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.patrec.2008.11.003 | Pattern Recognition Letters |
Keywords | Field | DocType |
disease-related non-synonymous,traditional svm method,membership function,fuzzy support vector machine,non-synonymous single nucleotide polymorphisms (nssnps),single nucleotide polymorphism,disease-associated non-synonymous,proposed mskfsvm,multi-scale rbf kernel,fuzzy support vector machine (fsvm) | Radial basis function,Radial basis function kernel,Pattern recognition,Support vector machine,Polynomial kernel,Single-nucleotide polymorphism,Artificial intelligence,Fuzzy support vector machine,Kernel method,Membership function,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
30 | 4 | Pattern Recognition Letters |
Citations | PageRank | References |
3 | 0.39 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen Ju | 1 | 91 | 4.80 |
| Juan Shan | 2 | 80 | 4.27 |
| Changhui Yan | 3 | 196 | 17.58 |
| H. D. Cheng | 4 | 1900 | 138.13 |