Title | ||
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Networks As A Privileged Way To Develop Mesoscopic Level Approaches In Systems Biology |
Abstract | ||
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The methodologies advocated in computational biology are in many cases proper system-level approaches. These methodologies are variously connected to the notion of "mesosystem" and thus on the focus on relational structures that are at the basis of biological regulation. Here, I describe how the formalization of biological systems by means of graph theory constitutes an extremely fruitful approach to biology. I suggest the epistemological relevance of the notion of graph resides in its multilevel character allowing for a natural "middle-out" causation making largely obsolete the traditional opposition between "top-down" and "bottom-up" styles of reasoning, so fulfilling the foundation dream of systems science of a direct link between systems analysis and the underlying physical reality. |
Year | DOI | Venue |
---|---|---|
2014 | 10.3390/systems2020237 | SYSTEMS |
Keywords | Field | DocType |
bioinformatics, graph theory, chemistry, molecular biology, systems analysis | Graph theory,Systems science,Cognitive science,Computer science,Causation,Systems analysis,Systems biology,Artificial intelligence,Natural language processing,Opposition (planets),Biological regulation,Complex systems biology | Journal |
Volume | Issue | ISSN |
2 | 2 | 2079-8954 |
Citations | PageRank | References |
1 | 0.38 | 5 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alessandro Giuliani | 1 | 170 | 25.21 |