| Description |
1 online resource (xi, 430 pages) : illustrations (some color) |
| Series |
Methods in molecular biology, 1029-6029 ; volume 1883 |
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Methods in molecular biology (Clifton, N.J.) ; v. 1883. 1064-3745
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| Contents |
Gene regulatory network inference : an introductory survey / Vân Anh Huynh-Thu and Guido Sanguinetti -- Statistical network inference for time-varying molecular data with dynamic bayesian networks / Frank Dondelinger and Sach Mukherjee -- Overview and evaluation of recent methods for statistical inference of gene regulatory networks from time series data / Marco Grzegorczyk, Andrej Aderhold and Dirk Husmeier -- Whole-transcriptome causal network inference with genomic and transcriptomic data / Lingfei Wang and Tom Michoel -- Causal queries from observational data in biological systems via bayesian networks : an empirical study in small networks / Alex White and Matthieu Vignes -- Multiattribute gaussian graphical model for inferring multiscale regulatory networks : an application in breast cancer / Julien Chiquet, Guillem Rigaill, and Martina Sundqvist -- Integrative approaches for inference of genome-scale gene regulatory networks / Alireza Fotuhi Siahpirani, Deborah Chasman, and Sushmita Roy -- Unsupervised gene network inference with decision trees and random forests / Vân Anh Huynh-Thu and Pierre Geurts -- Tree-based learning of regulatory network topologies and dynamics with jump3 / Vân Anh Huynh-Thu and Guido Sanguinetti -- Network inference from single-cell transcriptomic data / Helena Todorov, Robrecht Cannoodt, Wouter Saelens, and Yvan Saeys -- Inferring gene regulatory networks from multiple datasets / Christopher A. Penfold, Iulia Gherman, Anastasiya Sybirna, and David L. Wild -- Unsupervised GRN ensemble / Pau Bellot, Philippe Salembier, Ngoc C. Pham, and Patrick E. Meyer -- Learning differential module networks across multiple experimental conditions / Pau Erola, Eric Bonnet, and Tom Michoel -- Stability in GRN inference / Giuseppe Jurman, Michele Filosi, Roberto Visintainer, Samantha Riccadonna, and Cesare Furlanello -- Gene regulatory networks : a primer in biological processes and statistical modelling / Olivia Angelin-Bonnet, Patrick J. Biggs and Matthieu Vignes -- Scalable inference of ordinary differential equation models of biochemical processes / Fabian Fröhlich, Carolin Loos, and Jan Hasenauer |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed December 19, 2018) |
| Subject |
Transcription factors -- Laboratory manuals
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Transcription factors.
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Gene expression.
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Gene regulatory networks.
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Transcription Factors
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Gene Expression
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Gene Regulatory Networks
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Biotechnology.
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Science -- Biotechnology.
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Gene regulatory networks
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Gene expression
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Transcription factors
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| Genre/Form |
Laboratory manuals
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Laboratory manuals.
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Manuels de laboratoire.
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| Form |
Electronic book
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| Author |
Sanguinetti, Guido, 1974- editor.
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Huynh-Thu, Vân Anh, editor
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| ISBN |
9781493988822 |
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1493988824 |
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