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Single-Cell Study Designs Are Systematically Underpowered for Small-Effect Genes

Crampton, C. et al.
bioRxiv / medRxiv · Papers
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genomics
Single cell differential expression analysis enables biologists to make statistical conclusions about which genes are up or downregulated in a particular cell type, between two conditions, such as those with or without a disease. However, due to biological and technical noise, these differences are
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