scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Single cell RNA-seq has revolutionized transcriptomics by providing cell type resolution for differential gene expression and expression quantitative trait loci (eQTL) analyses. However, efficient power analysis methods for single cell data and inter-individual comparisons are lacking. Here, we present scPower; a statistical framework for the desig...
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scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
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TN_cdi_doaj_primary_oai_doaj_org_article_244a1e2437984f2681930cdb0b3790c0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_244a1e2437984f2681930cdb0b3790c0
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-021-26779-7
