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algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
algorithm t4p » algorithm steps (Expand Search), algorithm setup (Expand Search), algorithm _ (Expand Search)
pca function » gpcr function (Expand Search), a function (Expand Search), fc function (Expand Search)
t4p function » step function (Expand Search), _ function (Expand Search), a function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
algorithm t4p » algorithm steps (Expand Search), algorithm setup (Expand Search), algorithm _ (Expand Search)
pca function » gpcr function (Expand Search), a function (Expand Search), fc function (Expand Search)
t4p function » step function (Expand Search), _ function (Expand Search), a 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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Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Published 2025“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”
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dPCA applied to neural population activity during SCT.
Published 2019“…</b> Variability of the distance between the 450-ms and each target interval for the PCA (orange) and dPCA (magenta). The variability increased monotonically as a function of the target interval for both analyses. …”
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Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics
Published 2021“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
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Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics
Published 2021“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
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