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SuperPlots: Communicating reproducibility and variability in cell biology
P values and error bars help readers infer whether a reported difference would likely recur, with the sample size n used for statistical tests representing biological replicates, independent measurements of the population from separate experiments. We provide examples and practical tutorials for cre...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Rockefeller University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265319/ https://www.ncbi.nlm.nih.gov/pubmed/32346721 http://dx.doi.org/10.1083/jcb.202001064 |
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author | Lord, Samuel J. Velle, Katrina B. Mullins, R. Dyche Fritz-Laylin, Lillian K. |
author_facet | Lord, Samuel J. Velle, Katrina B. Mullins, R. Dyche Fritz-Laylin, Lillian K. |
author_sort | Lord, Samuel J. |
collection | PubMed |
description | P values and error bars help readers infer whether a reported difference would likely recur, with the sample size n used for statistical tests representing biological replicates, independent measurements of the population from separate experiments. We provide examples and practical tutorials for creating figures that communicate both the cell-level variability and the experimental reproducibility. |
format | Online Article Text |
id | pubmed-7265319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Rockefeller University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72653192020-12-01 SuperPlots: Communicating reproducibility and variability in cell biology Lord, Samuel J. Velle, Katrina B. Mullins, R. Dyche Fritz-Laylin, Lillian K. J Cell Biol Viewpoint P values and error bars help readers infer whether a reported difference would likely recur, with the sample size n used for statistical tests representing biological replicates, independent measurements of the population from separate experiments. We provide examples and practical tutorials for creating figures that communicate both the cell-level variability and the experimental reproducibility. Rockefeller University Press 2020-04-28 /pmc/articles/PMC7265319/ /pubmed/32346721 http://dx.doi.org/10.1083/jcb.202001064 Text en © 2020 Lord et al. http://www.rupress.org/terms/https://creativecommons.org/licenses/by-nc-sa/4.0/This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/). |
spellingShingle | Viewpoint Lord, Samuel J. Velle, Katrina B. Mullins, R. Dyche Fritz-Laylin, Lillian K. SuperPlots: Communicating reproducibility and variability in cell biology |
title | SuperPlots: Communicating reproducibility and variability in cell biology |
title_full | SuperPlots: Communicating reproducibility and variability in cell biology |
title_fullStr | SuperPlots: Communicating reproducibility and variability in cell biology |
title_full_unstemmed | SuperPlots: Communicating reproducibility and variability in cell biology |
title_short | SuperPlots: Communicating reproducibility and variability in cell biology |
title_sort | superplots: communicating reproducibility and variability in cell biology |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265319/ https://www.ncbi.nlm.nih.gov/pubmed/32346721 http://dx.doi.org/10.1083/jcb.202001064 |
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