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 Verfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2021
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 TUM01 Volltext |
| 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' |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 04 Mar 2021) |
| Beschreibung: | 1 Online-Ressource (x, 203 Seiten) |
| ISBN: | 9781108553711 |
| DOI: | 10.1017/9781108553711 |
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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| discipline | Biologie |
| discipline_str_mv | Biologie |
| doi_str_mv | 10.1017/9781108553711 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:03:59Z |
| indexdate | 2024-07-10T09:06:34Z |
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| isbn | 9781108553711 |
| language | English |
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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 rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 04 Mar 2021) 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' Life sciences / Mathematical models System analysis Kiani, Narsis 1978- (DE-588)1161016198 edt Gomez-Cabrero, David 1978- (DE-588)1231484470 edt Bianconi, Ginestra ca. 20./21. Jh. (DE-588)1163765929 edt Erscheint auch als Druck-Ausgabe 978-1-108-42887-3 https://doi.org/10.1017/9781108553711 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Networks of networks in biology concepts, tools and applications Life sciences / Mathematical models System analysis |
| 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_exact_search_txtP | 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 |
| topic | Life sciences / Mathematical models System analysis |
| topic_facet | Life sciences / Mathematical models System analysis |
| url | https://doi.org/10.1017/9781108553711 |
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