Search alternatives:
algorithm mobius » algorithm models (Expand Search), algorithmic bias (Expand Search), algorithm model (Expand Search)
Showing 41 - 60 results of 3,594 for search '(( algorithm ((protein function) OR (python function)) ) OR ( algorithm mobius function ))', query time: 0.36s Refine Results
  1. 41
    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling

    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

    Published 2019
    “…<div><p>The most frequently used approach for protein structure prediction is currently homology modeling. …”
    Save to List
    Saved in:
  2. 42
    Python cv coding screenshots of all developed fingerprints on distinct surfaces.

    Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

    Published 2024
    Save to List
    Saved in:
  3. 43
    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
    “…GEM-guided predictions of growth phenotypes rely on the accurate definition of a biomass objective function (BOF) that is designed to include key cellular biomass components such as the major macromolecules (DNA, RNA, proteins), lipids, coenzymes, inorganic ions and species-specific components. …”
    Save to List
    Saved in:
  4. 44
    Radius of gyration (RG) of the backbone atoms of the protein as a function of time.

    Radius of gyration (RG) of the backbone atoms of the protein as a function of time. by L. F. S. Bonet (11502082)

    Published 2021
    Save to List
    Saved in:
  5. 45
    Solvent-accessible surface area (SASA) of the protein as a function of time.

    Solvent-accessible surface area (SASA) of the protein as a function of time. by L. F. S. Bonet (11502082)

    Published 2021
    Save to List
    Saved in:
  6. 46
    The algorithm is designed to identify patterns in the treatment dataset.

    The algorithm is designed to identify patterns in the treatment dataset. by Belén Otero-Carrasco (21262360)

    Published 2025
    Save to List
    Saved in:
  7. 47
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
    Save to List
    Saved in:
  8. 48
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
    Save to List
    Saved in:
  9. 49
    Performance of the greedy approximation algorithm.

    Performance of the greedy approximation algorithm. by Virgile Andreani (17087764)

    Published 2024
    Subjects: “…unlike approximation algorithms…”
    Save to List
    Saved in:
  10. 50
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 51
    Detailed schematics of the algorithm developed to map and filter protein lists from one organism to another (ortholog identification).

    Detailed schematics of the algorithm developed to map and filter protein lists from one organism to another (ortholog identification). by Silvia Ambrós (11037668)

    Published 2021
    Save to List
    Saved in:
  12. 52
    Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration.

    Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

    Published 2022
    Save to List
    Saved in:
  13. 53
    Illustration of the perturbation of the protein relationship network and NECARE algorithm.

    Illustration of the perturbation of the protein relationship network and NECARE algorithm. by Jiajun Qiu (4684921)

    Published 2021
    Save to List
    Saved in:
  14. 54
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  15. 55
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  16. 56
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  17. 57
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  18. 58
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  19. 59
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  20. 60
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:

Search Tools: