Networks of Networks in Biology: Concepts, Tools and Applications

ISBN 10: 1108428878 / ISBN 13: 9781108428873

Verlag: Cambridge University Press, 2021

The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Bestandsnummer des Verkäufers GOR014399746

Inhaltsangabe:

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

Über die Autorinnen und Autoren: 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).

Bibliografische Details

Titel: Networks of Networks in Biology: Concepts, ...
Verlag: Cambridge University Press
Erscheinungsdatum: 2021
Einband: Paperback
Zustand: Very Good