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Overcoming confounding plate effects in differential expression analyses of single-cell RNA-seq data
An increasing number of studies are using single-cell RNA-sequencing (scRNA-seq) to characterize the gene expression profiles of individual cells. One common analysis applied to scRNA-seq data involves detecting differentially expressed (DE) genes between cells in different biological groups. Howeve...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862359/ https://www.ncbi.nlm.nih.gov/pubmed/28334062 http://dx.doi.org/10.1093/biostatistics/kxw055 |