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Correlation of gene-wise correlations between the four data sets and between corresponding randomized gene expression matrices.
A logarithmic scale is used to allow us to view the full range of frequencies, although this does understate the differences between the four data sets.
For these four data elements, there was substantial inter-rater agreement between two investigators and two research assistants who were trained and who independently extracted data from the narratives of a random 10% of RTI deaths (the lowest κ statistic was greater than 0.69 for all pairwise comparisons between the four data extractors; data not shown).
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26 Data linkage between the two data sets is carried out by the Health and Social Care Information Centre HSCICC).
The histograms of velocity differences indicate that the mean difference between the two data sets significantly changes between 2006 and 2007.
The difference between the two data sets was the number of hours worked by the employees.
The good agreement between the two data sets verifies the applicability of the calibration method.
We also note there should be some 3D effects in MRX causing some differences between the two data sets.
However, there is a general correlation between the two data sets.
There was a strong correlation between the two data sets (R = 0.96).
Only 323 genes were shared between the two data sets, supporting the cell-type-distinct Sox9-actions in each organ (Supplementary Fig. 3d and Supplementary Data 3).
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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