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These dependencies are shown graphically in Figure 1. Figure 1 Graphical representation of a hidden Markov model, with arrows indicating dependencies between variables.
CellDesigner (Funahashi et al., 2008) is a tool for graphically building biochemical pathway models, which integrate model representation by Systems Biology Markup Language (SBML; Hucka et al., 2003) with graphical representation by Systems Biology Graphical Notation (SBGN; Moodie et al., 2009).
This plot provides a graphically intuitive representation of our analyses presented above regarding the dynamic organization pattern within the protein interaction network.
Whatever the source of these pathways and networks they generally suffer from graphically poor representation with ambiguity around the precise identity of what is being shown and the exact nature of their interaction.
The transfer function for MPC ordering policy is then obtained graphically from an equivalent representation of this closed-form solution.
We have included a double-logarithmic representation to graphically illustrate this point.
Lewin attempted to reinforce his theories by using topological systems (maplike representations) to graphically depict psychological forces.
To display predicted and inferred membership probabilities graphically, we used barplot representations.
In order to visualise structural correlations in the metabolic network graphically we made a coarse-grained representation of the networks where reactions of the same OD were collapsed into one super node if there exists a direct link between them (see Methods for more details).
The conceptual representation of the model is graphically depicted in Fig. 1.
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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