Inferring network interactions within a cell
Brief Bioinform, 6 (4):
380-389 (декабря 2005)Аннотация
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.
Описание
Inferring network interactions within a cell. [Brief Bioinform. 2005] - PubMed Result