Inferring network interactions within a cell.

Greg W Carter

doi:10.1093/bib/6.4.380

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Inferring network interactions within a cell.

Greg W Carter

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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.

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Algorithms Computer Simulation Gene Expression Profiling Gene Expression Regulation, Fungal Models, Biological Protein Array Analysis Protein Interaction Mapping Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Signal Transduction Journal Article Review

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Greg W Carter. 2005. Inferring network interactions within a cell.. https://doi.org/10.1093/bib%2F6.4.380

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