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Showing 61 - 80 results of 381 for search '(( python model implementation ) OR ( ((python models) OR (python code)) represent ))', query time: 0.34s Refine Results
  1. 61
    Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains.

    Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains. by Giulio Facchini (9031490)

    Published 2025
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  2. 62
    LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery

    LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery by M RN (9866504)

    Published 2025
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  3. 63
    Configurations used in ALAAMs for undirected networks.

    Configurations used in ALAAMs for undirected networks. by Alex Stivala (8356257)

    Published 2024
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  4. 64
    Type II error rate from estimation of simulated outcomes using the EE algorithm.

    Type II error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

    Published 2024
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  5. 65
    Comparison of MPNet and ALAAMEE software for ALAAM estimation.

    Comparison of MPNet and ALAAMEE software for ALAAM estimation. by Alex Stivala (8356257)

    Published 2024
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  6. 66
    Configurations used in ALAAMs for directed networks.

    Configurations used in ALAAMs for directed networks. by Alex Stivala (8356257)

    Published 2024
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  7. 67
    Type I error rate from estimation of simulated outcomes using the EE algorithm.

    Type I error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

    Published 2024
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  8. 68
    Example ALAAMEE output.

    Example ALAAMEE output. by Alex Stivala (8356257)

    Published 2024
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  9. 69
    Type II error rate as the number of runs used for each sample is varied.

    Type II error rate as the number of runs used for each sample is varied. by Alex Stivala (8356257)

    Published 2024
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  10. 70
    Parameter estimates and estimated standard errors from the EE algorithm.

    Parameter estimates and estimated standard errors from the EE algorithm. by Alex Stivala (8356257)

    Published 2024
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  11. 71
    Network descriptive statistics for the Deezer networks.

    Network descriptive statistics for the Deezer networks. by Alex Stivala (8356257)

    Published 2024
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  12. 72
    Example ALAAMEE goodness-of-fit output.

    Example ALAAMEE goodness-of-fit output. by Alex Stivala (8356257)

    Published 2024
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  13. 73
    Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python)

    Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

    Published 2025
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  14. 74
    PythonForRoyalSociety.py from The formation energy of triple lines

    PythonForRoyalSociety.py from The formation energy of triple lines by Paul Twine (22587761)

    Published 2025
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  15. 75
    Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <i>τ</i>. The burst frequency , the mean burst size and . (B) Refractory model simulation results ( samples). The gene has three states, , and , and can switch from one state to another. Moreover, nascent mRNA is produced only when the gene is in state . The parameters are , , , and <i>τ</i> = 1.

    Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... by Ziyan Jin (21021976)

    Published 2025
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  16. 76
    Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’), followed by a word frequency count (‘Counter’).

    Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’... by Enock Niyonkuru (21246879)

    Published 2025
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  17. 77
    Schematic of the approach: This schematic illustrates the entire workflow of the project.

    Schematic of the approach: This schematic illustrates the entire workflow of the project. by Enock Niyonkuru (21246879)

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  18. 78
    Text Transformation Pipeline: An example of the multi-stage text transformation pipeline applied to a sample abstract (PMID: 30609739).

    Text Transformation Pipeline: An example of the multi-stage text transformation pipeline applied to a sample abstract (PMID: 30609739). by Enock Niyonkuru (21246879)

    Published 2025
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  19. 79
    Comparative analysis of WordNet replacement impact on data distribution.

    Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

    Published 2025
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  20. 80
    Comparison of window size for embedding with Wordnet synonym replacement (WN) and without (PM). While Table 1 compared the effects of different values of using a window size of 10, this Table shows the results for three different window sizes at a =. Abbreviations are the same as for Table 1.

    Comparison of window size for embedding with Wordnet synonym replacement (WN) and without (PM). While Table 1 compared the effects of different values of using a window size of 10,... by Enock Niyonkuru (21246879)

    Published 2025
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