scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies

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 pres...

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Detalles Bibliográficos
Autores principales: Schmid, Katharina T., Höllbacher, Barbara, Cruceanu, Cristiana, Böttcher, Anika, Lickert, Heiko, Binder, Elisabeth B., Theis, Fabian J., Heinig, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595682/
https://www.ncbi.nlm.nih.gov/pubmed/34785648
http://dx.doi.org/10.1038/s41467-021-26779-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595682/
https://www.ncbi.nlm.nih.gov/pubmed/34785648
http://dx.doi.org/10.1038/s41467-021-26779-7

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