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XCMS Online provides an interactive PCA report sheet, including a scree plot, scores plot, and a loadings plot.
Consequently, alternative splicing is better visualized in the M-score plots where the constitutive junctions (the first five junctions plotted) score near zero, while the alternative junctions (last 6 or 7 junctions plotted) clearly score above and below the established cutoff (+/-1.3, gray dashed lines).
Therefore, gene-gene interaction networks were plotted, scored, and ranked to identify interactions potentially driving the observed B-SWCNT malignant phenotype.
By plotting scores against the number of clusters we determined the knee of the curve, and thus the number of optimal clusters, to be 110.
Results from the PCA are presented in two types of interrelated plots: scores plot and loadings plot.
Ordinal data are either described in tables by absolute and relative frequencies (global clinical assessment) or by box plots (scoring of clinical symptoms).
Figure 3a shows the bi-plot (combined score and loading plot).
We plot the score for proteomically validated signal peptide containing proteins against the background of signalp's score distribution.
Customised graphs implemented in MLwiN allowed us to plot normal score plots and catch-all plots in order to investigate the properties of the residuals.
Figure 1 is an illustration of the outliers through a scatter plot of score values of different principal components (PCs).
Note: If no test values or funnel plot included, score "no".
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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