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Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses
Removal of, or adjustment for, batch effects or center differences is generally required when such effects are present in data. In particular, when preparing microarray gene expression data from multiple cohorts, array platforms, or batches for later analyses, batch effects can have confounding effe...
| 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/PMC4679072/ https://www.ncbi.nlm.nih.gov/pubmed/26272994 http://dx.doi.org/10.1093/biostatistics/kxv027 |