By Matthias Dehmer, Frank Emmert-Streib
"Many difficulties from the lifestyles sciences will be solid right into a mathematical framework that's in response to a graph theoretic description. accordingly a radical realizing of such equipment is more and more very important for the information research and modeling of biochemical, organic and biomedical problems." "This booklet follows a brand new process together with graph conception from a mathematical viewpoint through learning functions of community dependent equipment in a context-specific demeanour. The e-book is written by way of popular specialists within the box and provides important history details for a large viewers starting from, e.g., discrete arithmetic, utilized records, biostatistics, computational biology, machine technology, computer studying or structures biology."--Jacket. Read more...
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Additional info for Analysis of complex networks : from biology to linguistics
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Although cellular stimulus–response patterns are highly coordinated, these patterns emerge from individual protein–protein interactions, which cannot be deduced from the high-throughput data. Hence, the question of gaining new biological knowledge on individual genes or proteins from this approach often remains open. Although knowledge-based bottom-up approaches of modeling possess a certain appeal to biologists, successful modeling needs to overcome the gaps in understanding. Most protein–protein interactions remain unknown, and the underlying physics of interacting molecules require better attention.
Analysis of complex networks : from biology to linguistics by Matthias Dehmer, Frank Emmert-Streib