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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...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2443146/ https://ncbi.nlm.nih.gov/pubmed/18554411 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-280 |
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