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Showing 21 - 40 results of 9,296 for search '(( algorithm from functional ) OR ((( algorithm python function ) OR ( algorithm body function ))))', query time: 0.42s Refine Results
  1. 21
    Flow of the NSGA-II algorithm.

    Flow of the NSGA-II algorithm. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  2. 22
    BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data

    BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

    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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  3. 23
    Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf

    Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf by Dimitrios Menychtas (16935831)

    Published 2023
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  4. 24
    Results from trajectory optimization of walking.

    Results from trajectory optimization of walking. by Antoine Falisse (6061601)

    Published 2019
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  5. 25
    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit

    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

    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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  6. 26
    The optimal solution set of NYN by using different algorithms.

    The optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  7. 27
    The optimal solution set of HN by using different algorithms.

    The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  8. 28
    Image 6_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff

    Image 6_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

    Published 2025
    “…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”
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  9. 29
    Image 5_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff

    Image 5_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

    Published 2025
    “…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”
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  10. 30
    Image 3_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff

    Image 3_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

    Published 2025
    “…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”
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  11. 31
    Image 1_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.jpeg

    Image 1_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.jpeg by Jared Lichtarge (20548571)

    Published 2025
    “…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”
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  12. 32
    Image 4_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff

    Image 4_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

    Published 2025
    “…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”
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  13. 33
    Image 2_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff

    Image 2_MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets.tiff by Jared Lichtarge (20548571)

    Published 2025
    “…For the first time, we applied the PCA-GLASSO algorithm (i.e., MetaboLINK) to metabolomics data derived from Nuclear Magnetic Resonance (NMR) spectroscopy performed on neural cells at various developmental stages, from human embryonic stem cells to neurons.…”
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  14. 34
    Assessment of CCD2PI on an independent dataset, and comparison with a sequence-based deep learning method.

    Assessment of CCD2PI on an independent dataset, and comparison with a sequence-based deep learning method. by Chloé Dequeker (4966165)

    Published 2022
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  15. 35
    Assessment of CCD2PI on an independent dataset.

    Assessment of CCD2PI on an independent dataset. by Chloé Dequeker (4966165)

    Published 2022
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  16. 36
    Predictive performance on the PPDBv2.

    Predictive performance on the PPDBv2. by Chloé Dequeker (4966165)

    Published 2022
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  17. 37
    Number of putative partners predicted by CCD2PI.

    Number of putative partners predicted by CCD2PI. by Chloé Dequeker (4966165)

    Published 2022
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  18. 38
    Examples of annotated and homology-transferred interactions.

    Examples of annotated and homology-transferred interactions. by Chloé Dequeker (4966165)

    Published 2022
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  19. 39
    Sensitivity of partner identification to approximations in the reference interfaces.

    Sensitivity of partner identification to approximations in the reference interfaces. by Chloé Dequeker (4966165)

    Published 2022
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  20. 40
    Principle of the method.

    Principle of the method. by Chloé Dequeker (4966165)

    Published 2022
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