Read Power Laws, Scale-Free Networks and Genome Biology (Molecular Biology Intelligence Unit) by Springer Online
* Power Laws, Scale-Free Networks and Genome Biology (Molecular Biology Intelligence Unit) È PDF Download by ^ Springer eBook or Kindle ePUB Online free. Power Laws, Scale-Free Networks and Genome Biology (Molecular Biology Intelligence Unit) The collection of chapters, contributed by both physicists and biologists, strives to address the problems in this field in a rigorous but not excessively mathematical manner and to represent different viewpoints, which is crucial in this emerging discipline. The chapters in the book not only describe the interesting mathematical properties of biological networks but moves beyond phenomenology, toward models of evolution capable of explaining the emergence of these features. Most chapters emphas
| Title | : | Power Laws, Scale-Free Networks and Genome Biology (Molecular Biology Intelligence Unit) |
| Author | : | |
| Rating | : | 4.65 (806 Votes) |
| Asin | : | 0387258833 |
| Format Type | : | paperback |
| Number of Pages | : | 258 Pages |
| Publish Date | : | 2013-11-24 |
| Language | : | English |
The collection of chapters, contributed by both physicists and biologists, strives to address the problems in this field in a rigorous but not excessively mathematical manner and to represent different viewpoints, which is crucial in this emerging discipline. The chapters in the book not only describe the interesting mathematical properties of biological networks but moves beyond phenomenology, toward models of evolution capable of explaining the emergence of these features. Most chapters emphasize the potential of theoretical systems biology for discovery of new biological phenomena.. Power Laws, Scale-free Networks and Genome Biology deals with crucial aspects of the theoretical foundations of systems biology, namely power law distributions and scale-free networks which have emerged as the hallmarks of biological organization in the post-genomic era. Each chapter includes, in addition to technical descriptions of properties of biological networks and evolutionary models, a more general and accessible introduction to the respective problems
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