Reverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression Data.

Abstract:

:Transcriptional regulation plays vital roles in many fundamental biological processes. Reverse engineering of genome-wide regulatory networks from high-throughput transcriptomic data provides a promising way to characterize the global scenario of regulatory relationships between regulators and their targets. In this review, we summarize and categorize the main frameworks and methods currently available for inferring transcriptional regulatory networks from microarray gene expression profiling data. We overview each of strategies and introduce representative methods respectively. Their assumptions, advantages, shortcomings, and possible improvements and extensions are also clarified and commented.

journal_name

Curr Genomics

journal_title

Current genomics

authors

Liu ZP

doi

10.2174/1389202915666141110210634

subject

Has Abstract

pub_date

2015-02-01 00:00:00

pages

3-22

issue

1

eissn

1389-2029

issn

1875-5488

pii

CG-16-3

journal_volume

16

pub_type

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