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The sva package for removing batch effects and other unwanted variation in high-throughput experiments
Summary: Heterogeneity and latent variables are now widely recognized as major sources of bias and variability in high-throughput experiments. The most well-known source of latent variation in genomic experiments are batch effects—when samples are processed on different days, in different groups or...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3307112/ https://ncbi.nlm.nih.gov/pubmed/22257669 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts034 |
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