Networks of Networks in Biology: Concepts, Tools and Applications - Tapa dura

 
9781108428873: Networks of Networks in Biology: Concepts, Tools and Applications
Tapa dura
ISBN 10: 1108428878 ISBN 13: 9781108428873
Editorial: Cambridge University Press, 2021

Sinopsis

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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Acerca de los autores

Narsis A. Kiani is Assistant Professor and the Co-leader of Algorithmic Dynamics in the Department of Oncology-Pathology of the Karolinska Institutet, Sweden. She is passionate about mathematics and is interested in the fundamental question of what observations about the effects at the microscopic level can tell us about the macroscopic nature of biological systems and vice versa, and how defects and disorder affect these systems.

David Gomez-Cabrero is the Head of the Translational Bioinformatics Unit at Navarrabiomed, Spain. Since 2009, he has specialised in bioinformatics and data integration analysis, first as a post-doctorate and subsequently as Assistant Professor at the Karolinska Institutet, Sweden, and as Senior Lecturer at King's College London, UK. He collaborates with clinical groups that investigate multiple sclerosis, rheumatoid arthritis, chronic obstructive pulmonary disease (COPD) and cancer, among other diseases.

Ginestra Bianconi is Professor of Applied Mathematics at Queen Mary University of London and a Turing Fellow at the Alan Turing Institute. She is Editor-in-Chief of the Journal of Physics: Complexity and Editor of Scientific Reports, PloS One. She has published more than 150 articles in network theory and interdisciplinary applications. She has authored the book Multilayer Networks: Structure and Function (2018).

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Editorial
Cambridge University Press
Año de publicación
2021
Idioma
Inglés
ISBN 10 
1108428878
ISBN 13 
9781108428873
Encuadernación
Tapa dura
Número de páginas
214
Editor
Kiani Narsis A., Gomez-Cabrero David, Bianconi Ginestra
Contacto del fabricante
Cambridge University Press
https://www.cambridge.org/

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