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wave function » rate function (Expand Search), a function (Expand Search), gene function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm wave » algorithm based (Expand Search), algorithm where (Expand Search), algorithm a (Expand Search)
algorithm used » algorithm based (Expand Search), algorithms based (Expand Search), algorithm using (Expand Search)
used functions » used functional (Expand Search), based function (Expand Search), side functions (Expand Search)
wave function » rate function (Expand Search), a function (Expand Search), gene function (Expand Search)
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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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The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations.
Published 2021Subjects: -
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Search Algorithms and Loss Functions for Bayesian Clustering
Published 2022“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”
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State Preparation in Quantum Algorithms for Fragment-Based Quantum Chemistry
Published 2024“…The localized active space–unitary coupled cluster (LAS–UCC) algorithm iteratively loads a fragment-based multireference wave function onto a quantum computer. …”
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Flowchart of the specific incarnation of the BO algorithm used in the experiments.
Published 2020“…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”
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