Name
Title | ||
|---|---|---|
Classification Of High-Dimensional Microarray Data With A Two-Step Procedure Via A Wilcoxon Criterion And Multilayer Perceptron |
Abstract | ||
|---|---|---|
The method presented in this paper is novel as a natural combination of two mutually dependent steps. Feature selection is a key element (first step) in our classification system, which was employed during the 2010 International RSCTC data mining (bioinformatics) Challenge. The second step may be implemented using any suitable classifier such as linear regression, support vector machine or neural networks. We conducted leave-one-out (LOO) experiments with several feature selection techniques and classifiers. Based on the LOO evaluations, we decided to use feature selection with the separation type Wilcoxon-based criterion for all final submissions. The method presented in this paper was tested successfully during the RSCTC data mining Challenge, where we achieved the top score in the Basic track. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1142/S1469026811002969 | INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS |
Keywords | Field | DocType |
Gene expression data, cross-validation, feature selection, Fisher Discriminant, support vector machine | Data mining,Feature selection,Computer science,Multilayer perceptron,Artificial intelligence,Artificial neural network,Pattern recognition,Support vector machine,Wilcoxon signed-rank test,Linear discriminant analysis,Cross-validation,Perceptron,Machine learning | Journal |
Volume | Issue | ISSN |
10 | 1 | 1469-0268 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladimir Nikulin | 1 | 99 | 17.28 |
| Tian-Hsiang Huang | 2 | 50 | 6.12 |
| McLachlan Geoffrey J. | 3 | 1787 | 126.70 |