Fba-prcc. partial rank correlation coefficient (prcc) global sensitivity analysis (gsa) in application to constraint-based models

HIGHLIGHTS

• who: Anatoly Sorokin and Igor Goryanin from the Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan have published the research work: FBA-PRCC. Partial Rank Correlation Coefficient (PRCC) Global Sensitivity Analysis (GSA) in Application to Constraint-Based Models, in the Journal: Biomolecules 2023, 500 of /2023/
• what: The authors propose a new way to apply the global sensitivity analysis (GSA) to GEMs in a straightforward parallelizable fashion. The authors propose another approach to model simplification, which is based on flux balance analysis (FBA) and global sensitivity analysis (GSA). Using lower bounds for reversible . . .
  

   

  

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