English

Gene regulatory network inference: an introductory survey

Quantitative Methods 2018-12-20 v2 Molecular Networks

Abstract

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.

Keywords

Cite

@article{arxiv.1801.04087,
  title  = {Gene regulatory network inference: an introductory survey},
  author = {Vân Anh Huynh-Thu and Guido Sanguinetti},
  journal= {arXiv preprint arXiv:1801.04087},
  year   = {2018}
}

Comments

This chapter appears in the book "Gene Regulatory Networks: Methods and Protocols", published by Springer Nature

R2 v1 2026-06-22T23:43:28.172Z