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BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data
Published 2019“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”
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Posterior results using Bayesian method and NOP estimates for quanto option model.
Published 2023Subjects: -
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