FBA-PRCC. Partial Rank Correlation Coefficient (PRCC) Global Sensitivity Analysis (GSA) in Application to Constraint-Based Models

Anatoly Sorokin, Igor Goryanin

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DOI: 10.3390/biom13030500
Published: 2023-03-09
Container: Biomolecules
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/biom13030500,
  title = {FBA-PRCC. Partial Rank Correlation Coefficient (PRCC) Global Sensitivity Analysis (GSA) in Application to Constraint-Based Models},
  author = {Anatoly Sorokin and Igor Goryanin},
  year = {2023},
  journal = {Biomolecules},
  doi = {10.3390/biom13030500},
  url = {https://doi.org/10.3390/biom13030500}
}

RIS

TY  - JOUR
TI  - FBA-PRCC. Partial Rank Correlation Coefficient (PRCC) Global Sensitivity Analysis (GSA) in Application to Constraint-Based Models
AU  - Anatoly Sorokin
AU  - Igor Goryanin
PY  - 2023
JO  - Biomolecules
DO  - 10.3390/biom13030500
UR  - https://doi.org/10.3390/biom13030500
ER  -

APA

Sorokin, A., & Goryanin, I. (2023). FBA-PRCC. Partial Rank Correlation Coefficient (PRCC) Global Sensitivity Analysis (GSA) in Application to Constraint-Based Models. Biomolecules. https://doi.org/10.3390/biom13030500

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crossref · retrieved 2026-11-10T16:49:27.561Z