Overview
- Offers an empirical-evidence based methodology to describe the dynamical processes underlying chronic diseases from a gene regulatory networks point of view
- Provides state of the art cases-of-study based on a multi-disciplinary perspective
- Establishes a bridge between research oriented to the understanding of biological development (morphogenesis and plasticity), and disease emergence due to the disruption of regulatory processes
Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 1069)
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Table of contents (3 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
María Elena Álvarez-Buylla Roces is a professor in the Department of Functional Ecology, Institute of Ecology of the National Autonomous University of Mexico (UNAM). She obtained her PhD from University of California, Berkeley, in 1992. She was a postdoctoral researcher at University of California, San Diego, and a Miller Professor at the University of California, Berkeley. She is Coordinator of Research at the Center of Complexity Science of UNAM. Her scientific research is focused on systems biology combining experimental, evolutionary, ecological and theoretical/computational approaches geared towards the understanding of system-level mechanisms underlying biological development and their role in complex diseases.
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Juan Carlos Martínez-Garcia is a professor at the Automatic Control Department of the Center for Research and Advanced Studies of the National Polytechnic Institute of Mexico.He obtained his PhD in Mathematical Control Theory from Ecole Centrale de Nantes, France, in 1994. His research interests concern regulatory dynamics in cell biomolecular systems, as well as the mathematical and computer-based description of chronic diseases, through the systems biology perspective.
José Dávila-Velderrain earned a PhD at the Institute of Ecology, UNAM. He is presently a researcher at the Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology & The Broad Institute of Harvard and MIT. His research interests are focused on the application of advanced bioinformatics as well as mathematical modeling for the understanding of complex biological dynamical systems.
Elisa Domínguez-Hüttinger is a researcher at the Center of Complexity Science of UNAM. She obtained her PhD in Bioengineering from Imperial College London (2015). She also completed a postdoctoral fellowship (2016-2018) at the Institute of Ecology, UNAM. She is concerned with medical systems biology, mainly focused on the study of multi-scale dynamical processes underlying chronic diseases.
Mariana Esther Martínez-Sánchez is a posdoctoral research fellow at the Institute of Ecology and Center for Complexity Science at UNAM. She earned her PhD at the Institute of Ecology, UNAM, and is presently working in unravelling the complex system-level mechanisms underlying T CD4+ cell differentiation and plasticity that participate in inmunogenic responses and inmunological diseases.
Bibliographic Information
Book Title: Modeling Methods for Medical Systems Biology
Book Subtitle: Regulatory Dynamics Underlying the Emergence of Disease Processes
Authors: María Elena Álvarez-Buylla Roces, Juan Carlos Martínez-García, José Dávila-Velderrain, Elisa Domínguez-Hüttinger, Mariana Esther Martínez-Sánchez
Series Title: Advances in Experimental Medicine and Biology
DOI: https://doi.org/10.1007/978-3-319-89354-9
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-89353-2Published: 13 August 2018
Softcover ISBN: 978-3-030-07748-8Published: 26 January 2019
eBook ISBN: 978-3-319-89354-9Published: 03 August 2018
Series ISSN: 0065-2598
Series E-ISSN: 2214-8019
Edition Number: 1
Number of Pages: XXI, 258
Number of Illustrations: 60 illustrations in colour
Topics: Systems Biology, Microbial Genetics and Genomics, Mathematical Modeling and Industrial Mathematics, Computational Biology/Bioinformatics