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In brief, we use GeneSign to identify the transcriptomic fingerprints of murine immune cell types and we subsequently use these home-made gene sets in BubbleMap to assess their enrichments in human immune cell types (see the online User guide for a detailed step-by-step procedure of how to repeat this data analysis workflow).
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It will be important to repeat this analysis with other data and in other settings.
Before concluding that the observed under-dispersion reflected a biological phenomenon it would be important to repeat this analysis on serotype data derived from a PCR-based method.
It would be of value to repeat this analysis with better validation data.
Although this could be partly due to differences between trial populations and general populations, we acknowledge that our external validation results were suboptimal and in future research we would like to repeat this exercise with another external data source (which includes women).
Use the copy function to repeat this process for all the data points in your index-price column.
We intend to repeat data collection once this change has been implemented.
Gathering even baselines for such lists is costly and few conservationists have the financial resources to repeat data collection over time to establish trends.
They are still interruptions and, in the majority of instances, according to repeated survey data, totally unwanted and unproductive.
The authors are encouraged to repeat the analysis of this data using a blinded observer.
Having access to repeated data, it is not self-evident what methods of analysis to use.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com