Description Usage Arguments Value Examples
For a set of candidate co-regulator transcription factors, the Importance Index distribution of each transcription factor is plotted in boxplots. The shape of every boxplot depends on: the dimension of the distribution, which is equal to the number of rules in which each transcription factor appears (the higher is such number, the larger is a boxplot), the variability of the distribution (the higher is the variability of the Importance Index distribution, the longer is a boxplot). Moreover, the higher is the median of the Importance Index distribution for a candidate co-regulator transcription factor, the higher the boxplot is aligned with respect to the y-axis.
1 | distribViz(I, TFs)
|
I |
a list of Importance Index distributions (IIDs) |
TFs |
string vector with the names of the transcription factors |
A boxplot representing the transcription factor IIDs
1 2 3 4 5 | # Load IMP_Z and p from the data_man collection of datasets:
data('data_man')
# Plot the Importance Index distributions of the transcription factors in p:
distribViz(IMP_Z,p_TFs)
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