Selecting Few Genes for Microarray Gene Expression Classification

Author:

Alonso-González Carlos J.,Moro Q. Isaac,Prieto Oscar J.,Simón M. Aránzazu

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Chai, H., Domeniconi, C.: An evaluation of gene selection methods for multi-class microarray data classification. In: Proceedings of the Workshop W9 on Data Mining and Text Minig for Bioinformatics, pp. 3–10 (2004)

2. Demšar, J.: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7, 1–30 (2006)

3. Ding, C., Peng, H.: Minimum redundancy feature selection from microarray gene expression data. Journal of Bioinformatics and Computational Biology 3(2), 185–205 (2005)

4. Ferri, C., Hernández-Orallo, J., Modroiu, R.: An experimental comparison of performance measures for classification. Pattern Recognition Letters (September 2008)

5. Garcia, S., Herrera, F.: An Extension on ”Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons. Journal of Machine Learning Research 9, 2677–2694 (2008)

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