Use R to construct Medical Flowchart with shinyCyJS | by Jinhwan Kim | Sep, 2024

In cytoscape.js, by default, nodes are linked by edges that take into account the shortest distance between the middle and the middle, and in the event that they undergo different factors alongside the way in which, just like the taxi talked about above, the factors aren’t specified and are calculated algorithmically.

The issue with permitting intermediate factors to be specified is that when there are a number of edges between nodes, like within the bezier and haystack examples, it’s annoying to need to specify intermediate factors for all of them.

Within the earlier instance, there are solely three edges, so it’s not a giant deal, however within the case of genomic networks, which I studied in graduate college, a single gene typically interacts with dozens or lots of of different genes, so it’s a giant deal.

Within the worst case state of affairs, the sides overlap and lacking a couple of edges may cause the graph to supply fully totally different info.

In different phrases, in the issue of connecting to 1 lengthy node, the lengthy node is barely a graphical (width) perspective for the person,

However from the pc’s viewpoint, it’s irrational conduct to attach an edge to a node that doesn’t even exist, as proven within the picture beneath, so there isn’t any motive to think about this feature within the first place.

To unravel this downside, I created a micro node and modified it to connect with the suitable half, similar to the earlier edge midpoint downside.

Here’s a partial view of the graph I ended up creating in R. (Once more, teams and numbers are arbitrarily modified)