Gene regulatory network inference: An Introductory Survey

[en] Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-throughput measurement technologies in biology in the late 90s, 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 categorisation 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 specialised chapters of this book.

Disciplines :

Computer science
Genetics & genetic processes

Author, co-author :

Huynh-Thu, Vân Anh ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique

Sanguinetti, Guido

Language :

English

Title :

Gene regulatory network inference: An Introductory Survey

Publication date :

2019

Main work title :

Gene Regulatory Networks

Editor :

Sanguinetti, Guido

Huynh-Thu, Vân Anh ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science

Publisher :

Humana Press, New York, United States - New York

Collection name :

Methods in Molecular Biology, vol 1883

Available on ORBi :

since 19 December 2018

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