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- Title
Inferring network interactions within a cell.
- Authors
Carter, Greg W
- Abstract
The continuing growth in high-throughput data acquisition has led to a proliferation of network models to represent and analyse biological systems. These networks involve distinct interaction types detected by a combination of methods, ranging from directly observed physical interactions based in biochemistry to interactions inferred from phenotype measurements, genomic expression and comparative genomics. The discovery of interactions increasingly requires a blend of experimental and computational methods. Considering yeast as a model system, recent analytical methods are reviewed here and specific aims are proposed to improve network interaction inference and facilitate predictive biological modelling.
- Publication
Briefings in bioinformatics, 2005, Vol 6, Issue 4, p380
- ISSN
1467-5463
- Publication type
Journal Article
- DOI
10.1093/bib/6.4.380