Inferring regulatory networks
Copyright policy )Inferring regulatory networks
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.
- National Institute on Aging United States
- Virginia Tech United States
- National Institute of Health Pakistan
- National Institutes of Health United States
Models, Statistical, Models, Genetic, Transcription, Genetic, Gene Expression Profiling, Systems Biology, Computational Biology, Markov Chains, Gene Expression Regulation, Animals, Humans, Computer Simulation, Gene Regulatory Networks, Algorithms, Software, Oligonucleotide Array Sequence Analysis
Models, Statistical, Models, Genetic, Transcription, Genetic, Gene Expression Profiling, Systems Biology, Computational Biology, Markov Chains, Gene Expression Regulation, Animals, Humans, Computer Simulation, Gene Regulatory Networks, Algorithms, Software, Oligonucleotide Array Sequence Analysis
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