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.