SuperPlots: Communicating reproducibility and variability in cell biology
Howard Hughes Medical Institute · University of California, San Francisco · +1 more institution
Indexed incrossrefpubmed
Abstract
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.
Citation impact
772
total citations
- FWCI
- 37.32
- Percentile
- 100%
- References
- 19
Citations per year
Authors
4- SJSamuel J. Lord
Howard Hughes Medical Institute, University of California, San Francisco
- KVKatrina Velle
University of Massachusetts Amherst
- RDR. Dyche MullinsCorresponding
Howard Hughes Medical Institute, University of California, San Francisco
- LKLillian K. Fritz‐LaylinCorresponding
University of Massachusetts Amherst
Topics & keywords
Keywords
- Reproducibility
- Biology
- Computational biology
- Statistics
- Mathematics
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