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NONPARAMETRIC ESTIMATION OF GENEWISE VARIANCE FOR MICROARRAY DATA
Estimation of genewise variance arises from two important applications in microarray data analysis: selecting significantly differentially expressed genes and validation tests for normalization of microarray data. We approach the problem by introducing a two-way nonparametric model, which is an exte...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2010
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2980338/ https://ncbi.nlm.nih.gov/pubmed/21076694 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/10-AOS802 |
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