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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 b » algorithm _ (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 b » algorithm _ (Expand Search), algorithms _ (Expand Search)
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A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data
Published 2022Subjects: -
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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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Experiment 2D and 5D: Progressive Sample Scaling Algorithm To Solve Many-Affine BBOB Functions.
Published 2024“…For this specific experiment<a href="https://markdownlivepreview.com/#cite_note-2" target="_blank"><sup>[2]</sup></a><a href="https://markdownlivepreview.com/#cite_note-3" target="_blank"><sup>[3]</sup></a>, the average AOCC is calculated.</p><p dir="ltr"><b>Objectives</b></p><ul><li>Solve Many-Affine BBOB Functions using a Deterministic Algorithm.…”
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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
Published 2025“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”
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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions.
Published 2024“…Both versions are evaluated on the same synthetic datasets with a 3-group ground truth. Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …”
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The optimal solution set of NYN by using different algorithms.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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The optimal solution set of HN by using different algorithms.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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