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Genetic Network Inference Using Hierarchical Structure
2016
Frontiers in Physiology
Many methods for inferring genetic networks have been proposed, but the regulations they infer often include false-positives. Several researchers have attempted to reduce these erroneous regulations by proposing the use of a priori knowledge about the properties of genetic networks such as their sparseness, scale-free structure, and so on. This study focuses on another piece of a priori knowledge, namely, that biochemical networks exhibit hierarchical structures. Based on this idea, we propose
doi:10.3389/fphys.2016.00057
pmid:26941653
pmcid:PMC4763037
fatcat:c24tq5mh6vftbgl5zwbugdfsdm