Literature DB >> 30547394

Gene Regulatory Network Inference: An Introductory Survey.

Vân Anh Huynh-Thu1, Guido Sanguinetti2.   

Abstract

Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-throughput measurement technologies in biology in the late 1990s, reconstructing the structure of such networks has been a central computational problem in systems biology. While the problem is certainly not solved in its entirety, considerable progress has been made in the last two decades, with mature tools now available. This chapter aims to provide an introduction to the basic concepts underpinning network inference tools, attempting a categorization which highlights commonalities and relative strengths. While the chapter is meant to be self-contained, the material presented should provide a useful background to the later, more specialized chapters of this book.

Keywords:  Data-driven methods; Dynamical models; Gene regulatory networks; Network inference; Network reverse-engineering; Probabilistic models; Unsupervised inference

Mesh:

Year:  2019        PMID: 30547394     DOI: 10.1007/978-1-4939-8882-2_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  17 in total

Review 1.  Network inference in systems biology: recent developments, challenges, and applications.

Authors:  Michael M Saint-Antoine; Abhyudai Singh
Journal:  Curr Opin Biotechnol       Date:  2020-01-09       Impact factor: 9.740

2.  Control Meets Inference: Using Network Control to Uncover the Behaviour of Opponents.

Authors:  Zhongqi Cai; Enrico Gerding; Markus Brede
Journal:  Entropy (Basel)       Date:  2022-05-02       Impact factor: 2.738

3.  Maximum Entropy Technique and Regularization Functional for Determining the Pharmacokinetic Parameters in DCE-MRI.

Authors:  Zahra Amini Farsani; Volker J Schmid
Journal:  J Digit Imaging       Date:  2022-05-26       Impact factor: 4.903

Review 4.  Molecular Regulatory Mechanisms Drive Emergent Pathogenetic Properties of Neisseria gonorrhoeae.

Authors:  Ashwini Sunkavalli; Ryan McClure; Caroline Genco
Journal:  Microorganisms       Date:  2022-04-28

5.  D3GRN: a data driven dynamic network construction method to infer gene regulatory networks.

Authors:  Xiang Chen; Min Li; Ruiqing Zheng; Fang-Xiang Wu; Jianxin Wang
Journal:  BMC Genomics       Date:  2019-12-27       Impact factor: 3.969

Review 6.  Time-Based Systems Biology Approaches to Capture and Model Dynamic Gene Regulatory Networks.

Authors:  Jose M Alvarez; Matthew D Brooks; Joseph Swift; Gloria M Coruzzi
Journal:  Annu Rev Plant Biol       Date:  2021-03-05       Impact factor: 28.310

7.  CONFIGURE: A pipeline for identifying context specific regulatory modules from gene expression data and its application to breast cancer.

Authors:  Sungjoon Park; Doyeong Hwang; Yoon Sun Yeo; Hyunggee Kim; Jaewoo Kang
Journal:  BMC Med Genomics       Date:  2019-07-11       Impact factor: 3.063

8.  An omnidirectional visualization model of personalized gene regulatory networks.

Authors:  Chixiang Chen; Libo Jiang; Guifang Fu; Ming Wang; Yaqun Wang; Biyi Shen; Zhenqiu Liu; Zuoheng Wang; Wei Hou; Scott A Berceli; Rongling Wu
Journal:  NPJ Syst Biol Appl       Date:  2019-10-11

9.  Stability of Imbalanced Triangles in Gene Regulatory Networks of Cancerous and Normal Cells.

Authors:  Abbas Karimi Rizi; Mina Zamani; Amirhossein Shirazi; G Reza Jafari; János Kertész
Journal:  Front Physiol       Date:  2021-01-20       Impact factor: 4.566

10.  RegEnrich gene regulator enrichment analysis reveals a key role of the ETS transcription factor family in interferon signaling.

Authors:  Weiyang Tao; Timothy R D J Radstake; Aridaman Pandit
Journal:  Commun Biol       Date:  2022-01-11
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