Networks of Networks in Biology
Concepts, Tools and Applications

Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.

Narsis A. Kiani (Edited by), David Gomez-Cabrero (Edited by), Ginestra Bianconi (Edited by)

9781108428873, Cambridge University Press

Hardback, published 1 April 2021

214 pages
25 x 17.5 x 1.5 cm, 0.55 kg

'… 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

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'.

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.

Subject Areas: Mathematical & statistical software [UFM], Biotechnology [TCB], Molecular biology [PSD], Biology, life sciences [PS], Epidemiology & medical statistics [MBNS], Data analysis: general [GPH]