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.

Guardado en:

Detalles Bibliográficos
Autores principales:	Katharina T. Schmid, Barbara Höllbacher, Cristiana Cruceanu, Anika Böttcher, Heiko Lickert, Elisabeth B. Binder, Fabian J. Theis, Matthias Heinig
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/244a1e2437984f2681930cdb0b3790c0
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:244a1e2437984f2681930cdb0b3790c0
record_format	dspace
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
work_keys_str_mv	AT katharinatschmid scpoweracceleratesandoptimizesthedesignofmultisamplesinglecelltranscriptomicstudies AT barbarahollbacher scpoweracceleratesandoptimizesthedesignofmultisamplesinglecelltranscriptomicstudies AT cristianacruceanu scpoweracceleratesandoptimizesthedesignofmultisamplesinglecelltranscriptomicstudies AT anikabottcher scpoweracceleratesandoptimizesthedesignofmultisamplesinglecelltranscriptomicstudies AT heikolickert scpoweracceleratesandoptimizesthedesignofmultisamplesinglecelltranscriptomicstudies AT elisabethbbinder scpoweracceleratesandoptimizesthedesignofmultisamplesinglecelltranscriptomicstudies AT fabianjtheis scpoweracceleratesandoptimizesthedesignofmultisamplesinglecelltranscriptomicstudies AT matthiasheinig scpoweracceleratesandoptimizesthedesignofmultisamplesinglecelltranscriptomicstudies
_version_	1718418873106038784

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

Ejemplares similares