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Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types
BACKGROUND: Much of the public access cancer microarray data is asymmetric, belonging to datasets containing no samples from normal tissue. Asymmetric data cannot be used in standard meta-analysis approaches (such as the inverse variance method) to obtain large sample sizes for statistical power enr...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2010
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2949900/ https://ncbi.nlm.nih.gov/pubmed/20875095 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-483 |
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