Inferring network interactions within a cell
Open Access
- 1 January 2005
- journal article
- review article
- Published by Oxford University Press (OUP) in Briefings in Bioinformatics
- Vol. 6 (4) , 380-389
- https://doi.org/10.1093/bib/6.4.380
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.Keywords
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