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Classification and biomarker identification using gene network modules and support vector machines
BACKGROUND: Classification using microarray datasets is usually based on a small number of samples for which tens of thousands of gene expression measurements have been obtained. The selection of the genes most significant to the classification problem is a challenging issue in high dimension data a...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2774324/ https://www.ncbi.nlm.nih.gov/pubmed/19832995 http://dx.doi.org/10.1186/1471-2105-10-337 |