If we refactor BioDepVis to use the correlation matrix instead of the edge list, we can allow the user to tune the correlation threshold for edges to see how a threshold affects the graph. Note that KINC normally finds this threshold automatically, so this would mainly be for visualization rather than for finding the threshold manually. That being said, we could also compute certain properties of the resulting network when a threshold is selected (such as whether the network is scale-free) to help the user determine whether the threshold is good. This feature would require some analysis of how KINC finds the threshold automatically.
If we refactor BioDepVis to use the correlation matrix instead of the edge list, we can allow the user to tune the correlation threshold for edges to see how a threshold affects the graph. Note that KINC normally finds this threshold automatically, so this would mainly be for visualization rather than for finding the threshold manually. That being said, we could also compute certain properties of the resulting network when a threshold is selected (such as whether the network is scale-free) to help the user determine whether the threshold is good. This feature would require some analysis of how KINC finds the threshold automatically.