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 Genomicsjournal_title
Current genomicsauthors
Liu ZPdoi
10.2174/1389202915666141110210634subject
Has Abstractpub_date
2015-02-01 00:00:00pages
3-22issue
1eissn
1389-2029issn
1875-5488pii
CG-16-3journal_volume
16pub_type
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