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Integrative analysis and variable selection with multiple high-dimensional data sets
In high-throughput -omics studies, markers identified from analysis of single data sets often suffer from a lack of reproducibility because of sample limitation. A cost-effective remedy is to pool data from multiple comparable studies and conduct integrative analysis. Integrative analysis of multipl...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2011
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3169668/ https://ncbi.nlm.nih.gov/pubmed/21415015 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxr004 |
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