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Correcting gene expression data when neither the unwanted variation nor the factor of interest are observed
When dealing with large scale gene expression studies, observations are commonly contaminated by sources of unwanted variation such as platforms or batches. Not taking this unwanted variation into account when analyzing the data can lead to spurious associations and to missing important signals. Whe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4679071/ https://www.ncbi.nlm.nih.gov/pubmed/26286812 http://dx.doi.org/10.1093/biostatistics/kxv026 |