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This extension can be easily done, as NeuroGeM allows the user to navigate from one gene to another by clicking on a node in a network.
On the one hand, the learners can access the contents by clicking on a node as shown in Fig. 9 by a pop-up window where the web page of the selected node will display.
For example, the user can select a cluster of patients by clicking on a node or an edge in the trajectory view.
The user can explore this network by zooming into it, searching and highlighting specific genes/proteins and retrieving additional annotations and topological information by clicking on a node of interest (see tutorial on the web page for details).
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An example of this is responding when a user clicks on a node in the graph.
Also, by clicking on a model-type node, their descriptors are updated on the main list, and hence also on both graphs.
In addition, by simply clicking on a node or connection, the user is shown statistics and further information about that object.
The evidence-based argument structure is revealed by clicking on proficiency nodes, and new evidence can be added by clicking on a 'supporting evidence' tab.
Start by clicking on a video you want to move.
Searchers are able to interact with the boxes by clicking on a relation.
Users find all apps of a given type by clicking on a category.
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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