An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets

Author:

Lee George,Rodriguez Carlos,Madabhushi Anant

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Peng, Y.: A novel ensemble machine learning for robust microarray data classification. Comput. Biol. Med. 36(6), 553–573 (2006)

2. Shi, C., Chen, L.: Feature Dimension Reduction for Microarray Data Analysis Using Locally Linear Embedding. In: APBC, pp. 211–217 (2005)

3. Ye, J., et al.: Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data. IEEE/ACM Trans. Comput. Biology Bioinform. 1(6), 181–190 (2004)

4. Tan, A.C., Gilbert, D.: Ensemble machine learning on gene expression data for cancer classification. Applied Bioinformatics, 65–83 (2003)

5. Dai, J., et al.: Dimension Reduction for Classification with Gene Expression Microarray Data. Statistical Applications in Genetics and Mol. Biol. 5(1), 1–15 (2006)

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