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Showing 121 - 140 results of 6,421 for search '(((( algorithm severe functional ) OR ( algorithm b function ))) OR ( algorithm python function ))', query time: 1.24s Refine Results
  1. 121
    Performance of our proposed method in four scenarios (1 to 4).

    Performance of our proposed method in four scenarios (1 to 4). by Yi-Wen Hsiao (13767916)

    Published 2022
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  2. 122
    Run time comparisons between published tools and our package.

    Run time comparisons between published tools and our package. by Yi-Wen Hsiao (13767916)

    Published 2022
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  3. 123
    Experimental validation of real case study based on miRSponge database.

    Experimental validation of real case study based on miRSponge database. by Yi-Wen Hsiao (13767916)

    Published 2022
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  4. 124
    The basic concept of our idea is illustrated graphically.

    The basic concept of our idea is illustrated graphically. by Yi-Wen Hsiao (13767916)

    Published 2022
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  5. 125
    Performance of our proposed method in three extended cases.

    Performance of our proposed method in three extended cases. by Yi-Wen Hsiao (13767916)

    Published 2022
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  6. 126
    The meanings of score S are based on the values of P<sub>obey</sub> and P<sub>violate</sub>.

    The meanings of score S are based on the values of P<sub>obey</sub> and P<sub>violate</sub>. by Yi-Wen Hsiao (13767916)

    Published 2022
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  7. 127
    Summary statistics of the gene expression profile of 9,835 samples in TCGA pan-cancer atlas.

    Summary statistics of the gene expression profile of 9,835 samples in TCGA pan-cancer atlas. by Yi-Wen Hsiao (13767916)

    Published 2022
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  8. 128
    Performance comparisons between ceRNIA, JAMI, SPONGE, GDCRNATools and ceRNAR packages using synthetic data that mimic the real-world case.

    Performance comparisons between ceRNIA, JAMI, SPONGE, GDCRNATools and ceRNAR packages using synthetic data that mimic the real-world case. by Yi-Wen Hsiao (13767916)

    Published 2022
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  9. 129
    The performance of our proposed method in four scenarios (I to IV) uses simulated data that mimics real-world data distribution with the complete version.

    The performance of our proposed method in four scenarios (I to IV) uses simulated data that mimics real-world data distribution with the complete version. by Yi-Wen Hsiao (13767916)

    Published 2022
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  10. 130
    Performance of our proposed method in four scenarios (I to IV) using naïve simulated data with the complete version.

    Performance of our proposed method in four scenarios (I to IV) using naïve simulated data with the complete version. by Yi-Wen Hsiao (13767916)

    Published 2022
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  11. 131
    The extended analyses of the observed ceRNA pairs that are related to miRNA hsa-let-17e-5p.

    The extended analyses of the observed ceRNA pairs that are related to miRNA hsa-let-17e-5p. by Yi-Wen Hsiao (13767916)

    Published 2022
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  12. 132
    (a) Radar chart of these algorithms (CEC2021), (b) The sorting diagram of these algorithms (CEC2021).

    (a) Radar chart of these algorithms (CEC2021), (b) The sorting diagram of these algorithms (CEC2021). by Yu Liu (6938)

    Published 2025
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  13. 133
    Ranking of features selected by scatter search and fast correlation base filter algorithms.

    Ranking of features selected by scatter search and fast correlation base filter algorithms. by Pedro Manuel Martínez-García (10005013)

    Published 2021
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  14. 134
    a) FO Function, b) FI function.

    a) FO Function, b) FI function. by Huang Jiexian (17060975)

    Published 2023
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  15. 135
    Valve during diastole with inserts creating an artificial leak.

    Valve during diastole with inserts creating an artificial leak. by Bernhard Vennemann (7434353)

    Published 2019
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  16. 136
    <b>The Negative Digital Root Implemented as a Mathematica Standalone Function</b>

    <b>The Negative Digital Root Implemented as a Mathematica Standalone Function</b> by Paul F. Marrero Romero (17450601)

    Published 2024
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  17. 137
    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers.

    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  18. 138
    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
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  19. 139
    Influence of the parameters for PPDBv2 when considering predicted RIs.

    Influence of the parameters for PPDBv2 when considering predicted RIs. by Chloé Dequeker (4966165)

    Published 2022
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  20. 140
    Detailed predictive performance for PPDBv2, when using the knowledge of the experimental interfaces.

    Detailed predictive performance for PPDBv2, when using the knowledge of the experimental interfaces. by Chloé Dequeker (4966165)

    Published 2022
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