Journal
FRONTIERS IN BIOSCIENCE-LANDMARK
Volume 13, Issue -, Pages 263-275Publisher
FRONTIERS IN BIOSCIENCE INC
DOI: 10.2741/2677
Keywords
systems biology; regulatory network; coexpression; pathway dynamics; Modeling and inference; transcriptional intervention; review
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Funding
- Intramural NIH HHS Funding Source: Medline
- NCI NIH HHS [CA109872] Funding Source: Medline
- NIBIB NIH HHS [EB000830] Funding Source: Medline
- NATIONAL CANCER INSTITUTE [R21CA109872, R33CA109872] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [R21EB000830, R33EB000830] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON AGING [ZICAG000619] Funding Source: NIH RePORTER
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The discovery of regulatory networks is an important aspect in the post genomic research. The process requires integrated efforts of experimental and computational strategies by employing the systems biology approach. This review summarizes some of the major themes in computational inference of regulatory networks based on gene expression and other data sources, including transcriptional module identification, network topology inference, and network analysis. Popular solutions to each of these problems and their relative merits are discussed.
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