Networks of Networks in Biology
Networks of Networks in Biology
David Gomez-Cabrero, King's College London
Ginestra Bianconi, Queen Mary University of London
$66.99
USDBiological 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'.
- Introduces novel approaches and solutions to the big data problem, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets
- Provides a step-by-step introduction to graph analysis for biologists and, an introduction to graph-based applications in biology for computer scientists and mathematicians, ensuring the content is accessible to a wide readership
- Case studies allow the reader to understand how to export multilayer analysis to their own fields
Reviews & endorsements
'… Networks of Networks in Biology should be of interest and a good introductory resource for molecular biologists, cell biologists, and biochemists, as well as bioinformaticians not yet acquainted with multilayer networks.' Ingo Brigandt, Quarterly Review of Biology
Product details
March 2021Adobe eBook Reader
9781108639279
0 pages
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- Preface
- Part I. Networks in Biology:
- 1. An Introduction to Biological Networks Nuria Planell, Xabier Martinez de Morentin and David Gomez-Cabrero
- 2. Graph Theory Akram Dehnokhalaji and Nasim Nasrabadi
- Part II. Network Analysis:
- 3. Structural Analysis of Biological Networks Narsis A. Kiani and Mikko Kivelä
- 4. Networks From an Information-Theoretic and Algorithmic Complexity Perspective Hector Zenil and Narsis A. Kiani
- 5. Integration and Feature Identification in Multi-layer Network using a Heat Diffusion Approach Gordon Ball and Jesper Tegnér
- Part III. Multi-layer Networks:
- 6. Large Multiplex Networks Ginestra Bianconi
- 7. Large Existing Tools for Analysis of Multilayer Networks Manlio De Domenico and Massimo Stella
- 8. Large Dynamics on Multilayer Networks Manlio De Domenico and Massimo Stella
- Part IV. Applications:
- 9. The Network of Networks Involved in Human Disease Celine Sin and Jörg Menche
- 10. Towards a Multi-Layer Network Analysis of Disease: Challenges and Opportunities Through the Lens of Multiple Sclerosis Jesper Tegnér, Ingrid Kockum, Mika Gustafsson and David Gomez-Cabrero
- 11. Microbiome: A Multi-Layer Network View Is Required Rodrigo Bacigalupe, Saeed Shoai and David Gomez-Cabrero
- Part V. Conclusion : Concluding Remarks: Open Questions and Challenges Ginestra Bianconi, David Gomez-Cabrero, Jesper Tegnér and Narsis A. Kiani
- Index.
