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