Gene Regulatory Networks
Methods and Protocols
Editors: Sanguinetti, Guido, Huynh-Thu, Van Anh (Eds.)
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- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
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- About this book
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This volume explores recent techniques for the computational inference of gene regulatory networks (GRNs). The chapters in this book cover topics such as methods to infer GRNs from time-varying data; the extraction of causal information from biological data; GRN inference from multiple heterogeneous data sets; non-parametric and hybrid statistical methods; the joint inference of differential networks; and mechanistic models of gene regulation dynamics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, descriptions of recently developed methods for GRN inference, applications of these methods on real and/ or simulated biological data, and step-by-step tutorials on the usage of associated software tools.
Cutting-edge and thorough, Gene Regulatory Networks: Methods and Protocols is an essential tool for evaluating the current research needed to further address the common challenges faced by specialists in this field. - Reviews
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“The book covers a variety of computational and mathematical aspects related to the inference of gene regulatory networks. The style of the chapters seamlessly binds the comprehensive overview that recommended the book to junior researchers and the thorough description of topics, highlighting new direction of research, that would appeal to post-graduates and established researchers.” (Irina Ioana Mohorianu, zbMATH 1417.92005, 2019)
- Table of contents (16 chapters)
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Gene Regulatory Network Inference: An Introductory Survey
Pages 1-23
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Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks
Pages 25-48
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Overview and Evaluation of Recent Methods for Statistical Inference of Gene Regulatory Networks from Time Series Data
Pages 49-94
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Whole-Transcriptome Causal Network Inference with Genomic and Transcriptomic Data
Pages 95-109
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Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks
Pages 111-142
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Table of contents (16 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Gene Regulatory Networks
- Book Subtitle
- Methods and Protocols
- Editors
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- Guido Sanguinetti
- Van Anh Huynh-Thu
- Series Title
- Methods in Molecular Biology
- Series Volume
- 1883
- Copyright
- 2019
- Publisher
- Humana Press
- Copyright Holder
- Springer Science+Business Media, LLC, part of Springer Nature
- eBook ISBN
- 978-1-4939-8882-2
- DOI
- 10.1007/978-1-4939-8882-2
- Hardcover ISBN
- 978-1-4939-8881-5
- Series ISSN
- 1064-3745
- Edition Number
- 1
- Number of Pages
- XI, 430
- Number of Illustrations
- 43 b/w illustrations, 71 illustrations in colour
- Topics
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