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Updated: May 13, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Interpreting networks in systems biology
1Center for Regenerative Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Abstract:
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.
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