Dimension reduction with redundant gene elimination for tumor classification

BACKGROUND: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DNA microarray experiments by commonly used classifiers, because there are only a few observations but with thousands of me...

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Detalles Bibliográficos
Autores principales: Zeng, Xue-Qiang, Li, Guo-Zheng, Yang, Jack Y, Yang, Mary Qu, Wu, Geng-Feng
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2423430/
https://www.ncbi.nlm.nih.gov/pubmed/18541061
http://dx.doi.org/10.1186/1471-2105-9-S6-S8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2423430/
https://www.ncbi.nlm.nih.gov/pubmed/18541061
http://dx.doi.org/10.1186/1471-2105-9-S6-S8

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