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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...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2009
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2774324/ https://ncbi.nlm.nih.gov/pubmed/19832995 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-337 |
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