Author

Janis Shin

University of WashingtonORCID 0000-0002-1657-2455Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Approach:statistical model· 1

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Herbert M. SauroiD· 1 shared James M. CarothersiD· 1 shared

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2026-2026 · peak 1/yr

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Herbert M. SauroORCID

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1 paper

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Systems BiologyPLoS Computational BiologyPeer-reviewedJan 16, 2026

Evaluating the Limitations of Bayesian Metabolic Control Analysis

Janis Shin, James M. Carothers, Herbert M. Sauro

This study evaluates Bayesian Metabolic Control Analysis (BMCA) using synthetic networks, finding it requires flux and enzyme data for accurate predictions and fails to reliably infer elasticity values and allosteric regulation.

1 citation

metabolomicsBayesian inference

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