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Selecting subsets of newly extracted features from PCA and PLS in microarray data analysis
BACKGROUND: Dimension reduction is a critical issue in the analysis of microarray data, because the high dimensionality of gene expression microarray data set hurts generalization performance of classifiers. It consists of two types of methods, i.e. feature selection and feature extraction. Principl...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559889/ https://www.ncbi.nlm.nih.gov/pubmed/18831790 http://dx.doi.org/10.1186/1471-2164-9-S2-S24 |