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Brief Bioinform. 2005 Dec;6(4):380-9.

Inferring network interactions within a cell.

Author information

1
Institute for Systems Biology, 1441 N. 34th Street, Seattle, WA 98103, USA. gcarter@systemsbiology.org

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.

PMID:
16420736
[Indexed for MEDLINE]

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