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Overcoming the impacts of two-step batch effect correction on gene expression estimation and inference
Nonignorable technical variation is commonly observed across data from multiple experimental runs, platforms, or studies. These so-called batch effects can lead to difficulty in merging data from multiple sources, as they can severely bias the outcome of the analysis. Many groups have developed appr...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449015/ https://www.ncbi.nlm.nih.gov/pubmed/34893807 http://dx.doi.org/10.1093/biostatistics/kxab039 |