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Showing 101 - 120 results of 2,708 for search '(( algorithm brain function ) OR ((( algorithm python function ) OR ( algorithm co function ))))', query time: 0.55s Refine Results
  1. 101
    Performance of ENQUIRE’s gene normalization algorithm.

    Performance of ENQUIRE’s gene normalization algorithm. by Luca Musella (19986312)

    Published 2025
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  2. 102
    Benchmark functions.

    Benchmark functions. by Peiwen Zhang (1863202)

    Published 2025
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  3. 103
    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
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  4. 104
    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  5. 105
    WGCNA and machine learning algorithms.

    WGCNA and machine learning algorithms. by Shushu Wang (6870191)

    Published 2024
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  6. 106
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  7. 107
    Information of nodes and pipes of NYN.

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

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  8. 108
    The topology of the NYN.

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

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  9. 109
    The result of Wilcoxon signed-rand test.

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

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 110
    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…”
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  11. 111
    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…”
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  12. 112
    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…”
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  13. 113
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  14. 114
    Information of nodes and pipes of HN.

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

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  15. 115
    Data_Sheet_1_Combined brain network topological metrics with machine learning algorithms to identify essential tremor.docx

    Data_Sheet_1_Combined brain network topological metrics with machine learning algorithms to identify essential tremor.docx by Qin Li (36669)

    Published 2022
    “…Background and objective<p>Essential tremor (ET) is a common movement syndrome, and the pathogenesis mechanisms, especially the brain network topological changes in ET are still unclear. …”
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  16. 116
    Functional enrichment analysis.

    Functional enrichment analysis. by Benafsh Husain (7140098)

    Published 2019
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  17. 117
    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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  18. 118
    Default cell detection parameters.

    Default cell detection parameters. by Adam L. Tyson (10892822)

    Published 2021
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  19. 119
    Assignment of signal to individual cell candidates in the third dimension. Saggital sections (i.e. orthogonal to acquisition) shown.

    Assignment of signal to individual cell candidates in the third dimension. Saggital sections (i.e. orthogonal to acquisition) shown. by Adam L. Tyson (10892822)

    Published 2021
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  20. 120
    Total number of cells in each region, per brain, projecting to layer 2/3 neurons in primary visual cortex.

    Total number of cells in each region, per brain, projecting to layer 2/3 neurons in primary visual cortex. by Adam L. Tyson (10892822)

    Published 2021
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