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

scRNASeq data is revolutionizing our understanding of biological systems, but is still expensive to generate. Here, the authors present a statistical framework that facilitates informed multi-sample experimental design to reduce unnecessary costs and maximize the utility of the generated data.

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Main Authors: Katharina T. Schmid, Barbara Höllbacher, Cristiana Cruceanu, Anika Böttcher, Heiko Lickert, Elisabeth B. Binder, Fabian J. Theis, Matthias Heinig
Format: article
Language:EN
Published: Nature Portfolio 2021
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Online Access:https://doaj.org/article/244a1e2437984f2681930cdb0b3790c0
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spelling oai:doaj.org-article:244a1e2437984f2681930cdb0b3790c02021-11-21T12:36:02ZscPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies10.1038/s41467-021-26779-72041-1723https://doaj.org/article/244a1e2437984f2681930cdb0b3790c02021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26779-7https://doaj.org/toc/2041-1723scRNASeq data is revolutionizing our understanding of biological systems, but is still expensive to generate. Here, the authors present a statistical framework that facilitates informed multi-sample experimental design to reduce unnecessary costs and maximize the utility of the generated data.Katharina T. SchmidBarbara HöllbacherCristiana CruceanuAnika BöttcherHeiko LickertElisabeth B. BinderFabian J. TheisMatthias HeinigNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Katharina T. Schmid
Barbara Höllbacher
Cristiana Cruceanu
Anika Böttcher
Heiko Lickert
Elisabeth B. Binder
Fabian J. Theis
Matthias Heinig
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
description scRNASeq data is revolutionizing our understanding of biological systems, but is still expensive to generate. Here, the authors present a statistical framework that facilitates informed multi-sample experimental design to reduce unnecessary costs and maximize the utility of the generated data.
format article
author Katharina T. Schmid
Barbara Höllbacher
Cristiana Cruceanu
Anika Böttcher
Heiko Lickert
Elisabeth B. Binder
Fabian J. Theis
Matthias Heinig
author_facet Katharina T. Schmid
Barbara Höllbacher
Cristiana Cruceanu
Anika Böttcher
Heiko Lickert
Elisabeth B. Binder
Fabian J. Theis
Matthias Heinig
author_sort Katharina T. Schmid
title scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
title_short scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
title_full scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
title_fullStr scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
title_full_unstemmed scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
title_sort scpower accelerates and optimizes the design of multi-sample single cell transcriptomic studies
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/244a1e2437984f2681930cdb0b3790c0
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