Gene Regulatory Network Inference: An Introductory Survey

Vân Anh Huynh-Thu, Guido Sanguinetti

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish
Title of host publicationGene Regulatory Networks: Methods and Protocols
EditorsGuido Sanguinetti, Vân Anh Huynh-Thu
Place of PublicationNew York, NY
PublisherSpringer
Pages1-23
Number of pages23
ISBN (Electronic)978-1-4939-8882-2
ISBN (Print)978-1-4939-8881-5
DOIs
Publication statusPublished - 2019

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  • Gene Regulatory Networks: Methods and Protocols

    Sanguinetti, G. (ed.) & Huynh-Thu, V. A. (ed.), 2019, Humana Press. 285 p. (Methods in Molecular Biology Series Volume; vol. 1883)

    Research output: Book/ReportBook

  • Tree-Based Learning of Regulatory Network Topologies and Dynamics with Jump3

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer, p. 217-233 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

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