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This document introduces a new metabolomics analysis technique called steady-state metabolic network dynamics analysis (SMDA). SMDA takes metabolomics measurement data and a selected metabolic subnetwork as input. It then uses predefined activation conditions for reactions stored in a database to iteratively determine which reactions in the network are active or inactive. This results in multiple possible "active-inactive graphs" that represent alternative steady-state activation/inactivation scenarios for

Author
axc126
Language
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