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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm cep » algorithm cl (Expand Search), algorithm co (Expand Search), algorithm seu (Expand Search)
a functional » _ functional (Expand Search), a function (Expand Search), state functional (Expand Search)
cep function » cell function (Expand Search), step function (Expand Search), t4p function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm cep » algorithm cl (Expand Search), algorithm co (Expand Search), algorithm seu (Expand Search)
a functional » _ functional (Expand Search), a function (Expand Search), state functional (Expand Search)
cep function » cell function (Expand Search), step function (Expand Search), t4p function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
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Flowchart of proposed fitness function algorithm.
Published 2025“…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”
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Function graph and algorithm iterative graph.
Published 2024“…According to the encouraging research results in this paper, the IERWHO algorithm proposed has a place in the field of optimization.…”
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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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