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...

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Detalles Bibliográficos
Autores principales: Li, Guo-Zheng, Bu, Hua-Long, Yang, Mary Qu, Zeng, Xue-Qiang, Yang, Jack Y
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research
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

Internet

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

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