A novel network-based approach for discovering dynamic metabolic biomarkers in cardiovascular disease.

ABSTRACT: Metabolic biomarkers may play an important role in the diagnosis, prognostication and assessment of response to pharmacological therapy in complex diseases. The process of discovering new metabolic biomarkers is a non-trivial task which involves a number of bioanalytical processing steps coupled with a computational approach for the search, prioritization and verification of new biomarker candidates. Kinetic analysis provides an additional dimension of complexity in time-series data, allowing for a more precise interpretation of biomarker dynamics in terms of molecular interaction and pathway modulation. A novel network-based computational strategy for the discovery of putative dynamic biomarker candidates is presented, enabling the identification and verification of unexpected metabolic s

SUBMITTER: Baumgartner C 

PROVIDER: S-EPMC6289413 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature