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For each indicator, time series will be displayed for each country, with (unweighted) averages calculated for each system and we will discuss the differences between these averages.
Furthermore, user-defined 2D and 3D representations can be displayed for each individual gene/protein in the dataset and plotted data points are interlinked with relevant entries in an online annotation database.
The script can also display other information on demand, such as melting curve profiles which can be displayed for each replicate or by average of 4 replicates for each individual (see examples in Figure 3 and 4).
For time to event variables such as time to diagnosis (in days), survival analysis using log-rank test will be performed for group comparison and Kaplan-Meier survival curves will be displayed for each group.
Overall survival will be displayed for each intervention group based on the Kaplan-Meier estimates as well as on the estimates obtained from the Cox regression model, and the corresponding two-sided 95% confidence interval for the hazard ratio will be calculated.
The following features should be displayed for each game.
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The institutional table is determined using average standardised scores in each subject, as opposed to the average teaching score that is displayed for each subject.
In Fig. 3, the forecast errors are displayed for each model below the two panels.
Average accuracy and average training time per epoch are displayed for each embedding approach.
The resulting overlapping masks are displayed for each predominant source (c,f,i,l).
In Fig. 4, the Twitter activity is displayed for each hashtag related to radiology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com