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Gene selection and classification for cancer microarray data based on machine learning and similarity measures
BACKGROUND: Microarray data have a high dimension of variables and a small sample size. In microarray data analyses, two important issues are how to choose genes, which provide reliable and good prediction for disease status, and how to determine the final gene set that is best for classification. A...
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| Hoofdauteurs: | , , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2011
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3287491/ https://ncbi.nlm.nih.gov/pubmed/22369383 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-12-S5-S1 |
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