Interpreting networks in systems biology

Implementation of network systems biology principles offers unparalleled opportunity to synthesize and integrate inherently complex high-throughput data for meaningful interpretation. Nonstochastic network templates constructed from extant knowledge facilitate large data set prioritization and prognostication, identifying context-dependent candidates for follow-up functional validation and interpretation. In conjunction, enrichment and representation assessment refines comprehension of network-associated molecular functions and biological processes. Together, exploiting intrinsic network properties provides a value-added decision-support instrument for data deconvolution in systems biomedicine.