Title Statements
- Full title :Computational Systems Biology : Inference and Modelling.
Edition Statements
- Publication Date:©2016.
Publication Statements
- Publisher(s):Elsevier Science & Technology
- Place of Publication:Cambridge
- Language:eng
- Publication Date:©2016.
The Physical Object
- Description:1 online resource (182 pages).
Edition Identifiers
- ISBN:9780081001158, 0081001150
- oclc:on1097125307
- LC Classification:QH324.2 ǂb .C667 2016eb
- Dewey Decimal:570.28499999999997
Table of Contents
Front Cover -- Computational Systems Biology: Inference and Modeling -- Copyright -- Dedication -- Contents -- About the Authors -- Preface -- Acknowledgments -- Chapter 1: Overview of Biological Network Inference and Modeling of Dynamics -- 1.1 Introduction to Inference of Topologies, Causalities, and Dynamic Models -- 1.2 The Data -- 1.2.1 Features of Optimal Datasets -- 1.2.2 Performance and Reliability Issues -- Chapter 2: Network Inference From Steady-State Data -- 2.1 Median-Corrected Z Scores -- 2.1.1 The Data -- 2.1.2 The Performance -- 2.2 Multiple Regression Method -- 2.2.1 The Data -- 2.2.2 The Performance -- 2.3 Bayesian Variable Selection Method -- 2.3.1 The Data -- 2.3.2 The Performance -- Chapter 3: Network Inference From Time-Course Data -- 3.1 Time-Lagged-Correlation-Based Network Inference -- 3.1.1 Network Inference -- 3.1.2 Inference of Kinetic Parameters -- 3.1.3 The Use Case: Gemcitabine Metabolism -- 3.2 Bayesian Approaches -- 3.3 The Method of Variational Bayesian Inference -- 3.3.1 A Markov Jump Model for Reaction Systems -- 3.3.2 A Formulation of Variational Inference -- 3.3.3 The Diffusion Approximation -- 3.3.4 The KL Divergence for Diffusion Processes -…
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