Paola Lecca,
Paola (Professor, Laboratory of Computational Oncology, Centre for Integrative Biology (CIBIO), University of Trento, Italy) Lecca,
Angela Re,
Angela (Postdoctoral Fellow, Centre for Integrative Biology (CIBIO), University of Trento, Italy) Re,
Adaoha Elizabeth Ihekwaba,
Adaoha Elizabeth (Researcher, Gut Health and Food Safety, Institute of Food Research, Norwich, UK) Ihekwaba,
Ivan Mura,
Ivan (Department of Industrial Engineering, Los Andes University, Bogota, Columbia) Mura,
Thanh-Phuong Nguyen,
Thanh-Phuong (Researcher, Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg) Nguyen
e.a.
Computational Systems Biology
Inference and Modelling
Gebonden Engels 2016 9780081000953Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.
This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling.
The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.
Specificaties
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Inhoudsopgave
<p>Chapter 1: Overview of Biological Network Inference and Modeling of Dynamics</p> <p>Chapter 2: Network Inference From Steady-State Data</p> <p>Chapter 3: Network Inference From Time-Course Data</p> <p>Chapter 4: Network-Based Conceptualization of Observational Data</p> <p>Chapter 5: Deterministic Differential Equations</p> <p>Chapter 6: Stochastic Differential Equations</p> <p>Chapter 7: From Network Inference to the Study of Human Diseases</p> <p>Chapter 8: Conclusions</p>
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