SuperPlots: Communicating reproducibility and variability in cell biology
| العنوان: | SuperPlots: Communicating reproducibility and variability in cell biology |
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| المؤلفون: | Katrina B. Velle, Samuel J. Lord, Lillian K. Fritz-Laylin, R. Dyche Mullins |
| المصدر: | The Journal of Cell Biology |
| بيانات النشر: | Rockefeller University Press, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | education.field_of_study, Reproducibility, Models, Statistical, Extramural, business.industry, Population, education, MEDLINE, Reproducibility of Results, Cell Biology, Biology, Biostatistics, computer.software_genre, Viewpoint, Sample size determination, Error bar, Sample Size, Artificial intelligence, business, computer, Natural language processing, Statistical hypothesis testing |
| الوصف: | This Viewpoint proposes a simple way to highlight both experimental reproducibility and cell-to-cell variation, while avoiding pitfalls common in analysis of cell biology data. 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. |
| اللغة: | English |
| تدمد: | 1540-8140 0021-9525 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38b9b3b7592cf9d57223aa29874d3ac9 http://europepmc.org/articles/PMC7265319 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....38b9b3b7592cf9d57223aa29874d3ac9 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15408140 00219525 |
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