Beyond its heuristic value, graph approaches actually encourage one to think about biology in information processing terms. That is the single most important role of the paradigm.
Isn’t “shape of the problem” the irreducible becoming something that is reducible?
Only it isn’t about say a “mechanical irreducibility”, but more so, the whole or systems level reducibility.
The shape in this case would be the dynamic network patterns, the conceptual patterns that biology has so far missed.
I am beginning to construct an idea that biology’s true purpose isn’t enumeration of nodes or edges (the classic taxonomy stamp collecting), but rather the elucidation of hierarchical patterns in dynamic complex networks.
Beyond its heuristic value, graph approaches actually encourage one to think about biology in information processing terms. That is the single most important role of the paradigm.
Agreed - I actually have an article on exactly this topic, which will be released after the new year.
Looking forward to it
Isn’t “shape of the problem” the irreducible becoming something that is reducible?
Only it isn’t about say a “mechanical irreducibility”, but more so, the whole or systems level reducibility.
The shape in this case would be the dynamic network patterns, the conceptual patterns that biology has so far missed.
I am beginning to construct an idea that biology’s true purpose isn’t enumeration of nodes or edges (the classic taxonomy stamp collecting), but rather the elucidation of hierarchical patterns in dynamic complex networks.