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Showing 1 - 20 results of 306 for search '(( binary 2 codon optimization algorithm ) OR ( data sample level optimization algorithm ))', query time: 1.15s Refine Results
  1. 1
    Absorbance data for 25 samples used to optimize uncertainty parameters.

    Absorbance data for 25 samples used to optimize uncertainty parameters. by Christian Salmon (780906)

    Published 2023
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  2. 2
    Number of samples after dataset optimization.

    Number of samples after dataset optimization. by Ming-zhou Lv (21402593)

    Published 2025
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  3. 3
    Simulation of realistic, wavelength- and time-dependent noise for an absorption kinetic experiment on a bR sample.

    Simulation of realistic, wavelength- and time-dependent noise for an absorption kinetic experiment on a bR sample. by László Zimányi (2649973)

    Published 2021
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  4. 4
    Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples.

    Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples. by Konstantina Charmpi (9901053)

    Published 2021
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  5. 5
    Sample data of TSs.

    Sample data of TSs. by Jiaxin Li (441199)

    Published 2024
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  6. 6
    A Graphical representation of the MetaNovo algorithm applied for sequence database filtration.

    A Graphical representation of the MetaNovo algorithm applied for sequence database filtration. by Matthys G. Potgieter (16384775)

    Published 2023
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  7. 7
    Example of sample data.

    Example of sample data. by Xiying Wang (4859998)

    Published 2025
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  8. 8
    Failure Samples and Fitting Results.

    Failure Samples and Fitting Results. by Dongyan Wang (195482)

    Published 2025
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  9. 9
    The accuracy of all employed learning algorithms.

    The accuracy of all employed learning algorithms. by Quan Shao (20148209)

    Published 2024
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  10. 10
    The complete version of the sample data of TSs.

    The complete version of the sample data of TSs. by Jiaxin Li (441199)

    Published 2024
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  11. 11
    MetaNovo yields the highest accuracy for species-level annotations compared to matched genomic databases.

    MetaNovo yields the highest accuracy for species-level annotations compared to matched genomic databases. by Matthys G. Potgieter (16384775)

    Published 2023
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  12. 12
    Organisms included in the 9MM samples.

    Organisms included in the 9MM samples. by Matthys G. Potgieter (16384775)

    Published 2023
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  13. 13
    “phylum_name” peptides in the MLI samples.

    “phylum_name” peptides in the MLI samples. by Matthys G. Potgieter (16384775)

    Published 2023
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  14. 14
    “kingdom_name” peptides in the MLI samples.

    “kingdom_name” peptides in the MLI samples. by Matthys G. Potgieter (16384775)

    Published 2023
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  15. 15
    Sample images from the BreakHis dataset.

    Sample images from the BreakHis dataset. by Afnan M. Alhassan (18349378)

    Published 2024
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  16. 16
    A sample of original dataset.

    A sample of original dataset. by Tamer Abdel Latif Ali (21464041)

    Published 2025
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  17. 17
    Bacteria “superkingdom_name” peptides in the MLI samples.

    Bacteria “superkingdom_name” peptides in the MLI samples. by Matthys G. Potgieter (16384775)

    Published 2023
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  18. 18
    The Univariate Flagging Algorithm (UFA): An interpretable approach for predictive modeling

    The Univariate Flagging Algorithm (UFA): An interpretable approach for predictive modeling by Mallory Sheth (6477662)

    Published 2019
    “…The algorithm searches for a separation that optimizes the difference between separated areas while obtaining a high level of support. …”
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  19. 19
    Relative popularity data.

    Relative popularity data. by Panayiotis D. Ziakas (9510346)

    Published 2023
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  20. 20
    UniPept pept2lca analysis of MLI samples.

    UniPept pept2lca analysis of MLI samples. by Matthys G. Potgieter (16384775)

    Published 2023
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