Freshly Printed - allow 10 days lead
Couldn't load pickup availability
Computational Systems Biology
Inference and Modelling
This book provides an introduction to, and overview of, network analysis and the inference approaches that form the backbone of the model of complex behaviors of biological systems
Paola Lecca (Author), Angela Re (Author), Adaoha Elizabeth Ihekwaba (Author), Ivan Mura (Author), Thanh-Phuong Nguyen (Author)
9780081000953
Hardback, published 22 March 2016
180 pages
22.9 x 15.1 x 1.9 cm, 0.31 kg
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.
Chapter 1: Overview of Biological Network Inference and Modeling of Dynamics Chapter 2: Network Inference From Steady-State Data Chapter 3: Network Inference From Time-Course Data Chapter 4: Network-Based Conceptualization of Observational Data Chapter 5: Deterministic Differential Equations Chapter 6: Stochastic Differential Equations Chapter 7: From Network Inference to the Study of Human Diseases Chapter 8: Conclusions
Subject Areas: Enterprise software [UFL], Biotechnology [TCB], Life sciences: general issues [PSA], Medical bioinformatics [MBF]
