Journal
CURRENT GENOMICS
Volume 16, Issue 1, Pages 3-22Publisher
BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/1389202915666141110210634
Keywords
Gene expression data; Genome-wide inference; Computational model; Transcriptional regulatory network; Reverse engineering
Funding
- National Natural Science Foundation of China (NSFC) [31100949]
- Fundamental Research Funds of Shandong University [2014TB006]
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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.
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