Statistical and evolutionary analysis of biological networks
Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis. In recent years, much progress has been ac...
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| Format: | Elektronisch E-Book |
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| Sprache: | English |
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Imperial College Press
c2010
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| 245 | 1 | 0 | |a Statistical and evolutionary analysis of biological networks |c editors Michael P. H. Stumpf, Carsten Wiuf |
| 264 | 1 | |a London |b Imperial College Press |c c2010 | |
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| 520 | |a Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis. In recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological networks and how these are influenced by network evolution and functionality. This book reviews and explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. The book is divided into comprehensive and self-contained chapters, each of which focuses on an important biological network type, explains concepts and theory and illustrates how these can be used to obtain insight into biologically relevant processes and questions. There are chapters covering metabolic, transcriptomic, protein interaction and epidemiological networks as well as chapters that deal with theoretical and conceptual material. The authors, who contribute to the book, are active, highly regarded and well-known in the network community | ||
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| spelling | Statistical and evolutionary analysis of biological networks editors Michael P. H. Stumpf, Carsten Wiuf London Imperial College Press c2010 viii, 170 p. ill. (some col.) txt rdacontent c rdamedia cr rdacarrier Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis. In recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological networks and how these are influenced by network evolution and functionality. This book reviews and explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. The book is divided into comprehensive and self-contained chapters, each of which focuses on an important biological network type, explains concepts and theory and illustrates how these can be used to obtain insight into biologically relevant processes and questions. There are chapters covering metabolic, transcriptomic, protein interaction and epidemiological networks as well as chapters that deal with theoretical and conceptual material. The authors, who contribute to the book, are active, highly regarded and well-known in the network community Bayesian statistical decision theory Neural networks (Computer science) Biostatistik (DE-588)4729990-3 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Biostatistik (DE-588)4729990-3 s 2\p DE-604 Stumpf, M. P. H. Sonstige oth Wiuf, Carsten Sonstige oth Erscheint auch als Druck-Ausgabe 1848164335 Erscheint auch als Druck-Ausgabe 9781848164338 http://www.worldscientific.com/worldscibooks/10.1142/P659#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Statistical and evolutionary analysis of biological networks Bayesian statistical decision theory Neural networks (Computer science) Biostatistik (DE-588)4729990-3 gnd |
| subject_GND | (DE-588)4729990-3 (DE-588)4143413-4 |
| title | Statistical and evolutionary analysis of biological networks |
| title_auth | Statistical and evolutionary analysis of biological networks |
| title_exact_search | Statistical and evolutionary analysis of biological networks |
| title_full | Statistical and evolutionary analysis of biological networks editors Michael P. H. Stumpf, Carsten Wiuf |
| title_fullStr | Statistical and evolutionary analysis of biological networks editors Michael P. H. Stumpf, Carsten Wiuf |
| title_full_unstemmed | Statistical and evolutionary analysis of biological networks editors Michael P. H. Stumpf, Carsten Wiuf |
| title_short | Statistical and evolutionary analysis of biological networks |
| title_sort | statistical and evolutionary analysis of biological networks |
| topic | Bayesian statistical decision theory Neural networks (Computer science) Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | Bayesian statistical decision theory Neural networks (Computer science) Biostatistik Aufsatzsammlung |
| url | http://www.worldscientific.com/worldscibooks/10.1142/P659#t=toc |
| work_keys_str_mv | AT stumpfmph statisticalandevolutionaryanalysisofbiologicalnetworks AT wiufcarsten statisticalandevolutionaryanalysisofbiologicalnetworks |