Networks of networks in biology: concepts, tools and applications
Biological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of av...
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| Weitere beteiligte Personen: | , , |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Links: | https://doi.org/10.1017/9781108553711 |
| Zusammenfassung: | Biological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of 'network of networks'. |
| Umfang: | 1 Online-Ressource (x, 203 Seiten) |
| ISBN: | 9781108553711 |
Internformat
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| 520 | |a Biological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of 'network of networks'. | ||
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| spelling | Networks of networks in biology concepts, tools and applications edited by Narsis A. Kiani, David Gomez-Cabrero, Ginestra Bianconi Cambridge Cambridge University Press 2021 1 Online-Ressource (x, 203 Seiten) txt c cr Biological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of 'network of networks'. Bianconi, Ginestra Gomez-Cabrero, David Kiani, Narsis A. Erscheint auch als Druck-Ausgabe 9781108428873 |
| spellingShingle | Networks of networks in biology concepts, tools and applications |
| title | Networks of networks in biology concepts, tools and applications |
| title_auth | Networks of networks in biology concepts, tools and applications |
| title_exact_search | Networks of networks in biology concepts, tools and applications |
| title_full | Networks of networks in biology concepts, tools and applications edited by Narsis A. Kiani, David Gomez-Cabrero, Ginestra Bianconi |
| title_fullStr | Networks of networks in biology concepts, tools and applications edited by Narsis A. Kiani, David Gomez-Cabrero, Ginestra Bianconi |
| title_full_unstemmed | Networks of networks in biology concepts, tools and applications edited by Narsis A. Kiani, David Gomez-Cabrero, Ginestra Bianconi |
| title_short | Networks of networks in biology |
| title_sort | networks of networks in biology concepts tools and applications |
| title_sub | concepts, tools and applications |
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