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Maximizing statistical power to detect clinically associated cell states with scPOST

2020-11-23

Abstract excerpt

As advances in single-cell technologies enable the unbiased assay of thousands of cells simultaneously, human disease studies are able to identify clinically associated cell states using case-control study designs. These studies require precious clinical samples and costly technologies; therefore, it is critical to employ study design principles that maximize power to detect cell state frequency shifts between con...

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Literature Corpus work
9807b041-87f9-5cc4-b8cd-9d2c07963509
DOI
10.1101/2020.11.23.390682
Open publication

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Maximizing statistical power to detect clinically associated cell states with scPOSTDOI 10.1101/2020.11.23.390682
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