Gene Regulatory Networks: Methods and Protocols

Guido Sanguinetti (Editor), Van Anh Huynh-Thu (Editor)

Research output: Book/ReportBook


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.
Original languageEnglish
PublisherHumana Press
Number of pages285
ISBN (Electronic)978-1-4939-8881-5
ISBN (Print)978-1-4939-8881-5
Publication statusPublished - 2019

Publication series

NameMethods in Molecular Biology Series Volume
PublisherHumana Press
ISSN (Print)1064-3745


Dive into the research topics of 'Gene Regulatory Networks: Methods and Protocols'. Together they form a unique fingerprint.

Cite this