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Using the information embedded in the testing sample to break the limits caused by the small sample size in microarray-based classification
BACKGROUND: Microarray-based tumor classification is characterized by a very large number of features (genes) and small number of samples. In such cases, statistical techniques cannot determine which genes are correlated to each tumor type. A popular solution is the use of a subset of pre-specified...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443146/ https://www.ncbi.nlm.nih.gov/pubmed/18554411 http://dx.doi.org/10.1186/1471-2105-9-280 |