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Showing 81 - 100 results of 8,404 for search '(( algorithm gene function ) OR ((( algorithm python function ) OR ( algorithm cost function ))))*', query time: 0.64s Refine Results
  1. 81
    The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms.

    The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms. by Hamed Khodadadi (21446172)

    Published 2025
    “…<p>The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms.…”
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  2. 82
    <i>OptRAM</i>: <i>In-silico</i> strain design via integrative regulatory-metabolic network modeling

    <i>OptRAM</i>: <i>In-silico</i> strain design via integrative regulatory-metabolic network modeling by Fangzhou Shen (5140994)

    Published 2019
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  3. 83
    Comparison of characteristics of some computational strain design methods.

    Comparison of characteristics of some computational strain design methods. by Fangzhou Shen (5140994)

    Published 2019
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  4. 84
    Comparison of flux ranges of ethanol production in mutant models by different methods and literature.

    Comparison of flux ranges of ethanol production in mutant models by different methods and literature. by Fangzhou Shen (5140994)

    Published 2019
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  5. 85
    Comparison of flux ranges of succinate production in mutant models by different methods and literature.

    Comparison of flux ranges of succinate production in mutant models by different methods and literature. by Fangzhou Shen (5140994)

    Published 2019
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  6. 86
    Flux comparisons of mutated model and wild type for ethanol overproduction.

    Flux comparisons of mutated model and wild type for ethanol overproduction. by Fangzhou Shen (5140994)

    Published 2019
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  7. 87
    Manipulation sites in best solution for 2,3-butanediol as target.

    Manipulation sites in best solution for 2,3-butanediol as target. by Fangzhou Shen (5140994)

    Published 2019
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  8. 88
    Modification sites in best solution for succinate as target.

    Modification sites in best solution for succinate as target. by Fangzhou Shen (5140994)

    Published 2019
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  9. 89
    Flux comparison of a mutated model and wild type for succinate overproduction.

    Flux comparison of a mutated model and wild type for succinate overproduction. by Fangzhou Shen (5140994)

    Published 2019
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  10. 90
    Components in the integrated regulatory-metabolic network of yeast.

    Components in the integrated regulatory-metabolic network of yeast. by Fangzhou Shen (5140994)

    Published 2019
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  11. 91
    Comparison of flux ranges of 2,3-butanediol production in mutant models by different methods and literature.

    Comparison of flux ranges of 2,3-butanediol production in mutant models by different methods and literature. by Fangzhou Shen (5140994)

    Published 2019
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  12. 92
    Flux comparisons of mutated model and wild type for 2,3-butanediol overproduction.

    Flux comparisons of mutated model and wild type for 2,3-butanediol overproduction. by Fangzhou Shen (5140994)

    Published 2019
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  13. 93
    Manipulation sites in best solution for ethanol as target.

    Manipulation sites in best solution for ethanol as target. by Fangzhou Shen (5140994)

    Published 2019
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  14. 94
    Overall framework of OptRAM.

    Overall framework of OptRAM. by Fangzhou Shen (5140994)

    Published 2019
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  15. 95
    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, the temporal molecular states <i>n</i> at specific time <i>t</i> will be generated for further visualization.

    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

    Published 2025
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  16. 96
    Power flow and cost optimization with APSO variant-16 of APSO algorithm (b).

    Power flow and cost optimization with APSO variant-16 of APSO algorithm (b). by Muhammad Ahmad Iqbal (11851338)

    Published 2021
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  17. 97
    Power flow and cost optimization with APSO variant-16 of APSO algorithm (a).

    Power flow and cost optimization with APSO variant-16 of APSO algorithm (a). by Muhammad Ahmad Iqbal (11851338)

    Published 2021
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  18. 98
    Parameters and variables used to generalized cost function.

    Parameters and variables used to generalized cost function. by Zhipeng Huang (1759759)

    Published 2025
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  19. 99
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
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  20. 100
    Cumulative recovery cost of recovery.

    Cumulative recovery cost of recovery. by Alireza Rangrazjeddi (13360943)

    Published 2022
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