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Showing 1 - 20 results of 40 for search '(( binary sample processing segmentation algorithm ) OR ( binary a codon optimization algorithm ))*', query time: 1.08s Refine Results
  1. 1
    Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging

    Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

    Published 2021
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  2. 2
    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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  3. 3
    Normality assessment through Anderson-Darling test on sample distribution based on TCGA pan-cancer atlas across genes.

    Normality assessment through Anderson-Darling test on sample distribution based on TCGA pan-cancer atlas across genes. by Yi-Wen Hsiao (13767916)

    Published 2022
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  4. 4
    A graphic overview illustrates the random walk and permutation test in the <i>ceRNApairFiltering</i> method.

    A graphic overview illustrates the random walk and permutation test in the <i>ceRNApairFiltering</i> method. by Yi-Wen Hsiao (13767916)

    Published 2022
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  5. 5
    A graphic overview illustrates sorting and correlation calculation in the <i>ceRNApairFiltering</i> method.

    A graphic overview illustrates sorting and correlation calculation in the <i>ceRNApairFiltering</i> method. by Yi-Wen Hsiao (13767916)

    Published 2022
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  6. 6
    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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  7. 7
    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.9.

    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with randomly selected correlation values from 0.3 to 0.9. by Yi-Wen Hsiao (13767916)

    Published 2022
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  8. 8
    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. 9
    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.9).

    Performance of the ceRNAR package in five scenarios under the complete version using synthetic data with a fixed correlation value (0.9). by Yi-Wen Hsiao (13767916)

    Published 2022
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  10. 10
    Performance of the ceRNAR package with different proportions of correlated samples in scenario III under the fast version using synthetic data with a fixed correlation value (0.9).

    Performance of the ceRNAR package with different proportions of correlated samples in scenario III under the fast version using synthetic data with a fixed correlation value (0.9). by Yi-Wen Hsiao (13767916)

    Published 2022
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  11. 11
    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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  12. 12
    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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  13. 13
    The graphical outputs of the <i>ceRNAModule</i>, <i>ceRNASurvial</i>, and <i>ceRNALocation</i> functions.

    The graphical outputs of the <i>ceRNAModule</i>, <i>ceRNASurvial</i>, and <i>ceRNALocation</i> functions. by Yi-Wen Hsiao (13767916)

    Published 2022
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  14. 14
    The graphical bubble outputs of the <i>ceRNAFunction</i> function are based on over-representation analysis (ORA).

    The graphical bubble outputs of the <i>ceRNAFunction</i> function are based on over-representation analysis (ORA). by Yi-Wen Hsiao (13767916)

    Published 2022
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  15. 15
    Main tabular output in CSV format.

    Main tabular output in CSV format. by Yi-Wen Hsiao (13767916)

    Published 2022
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  16. 16
    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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  17. 17
    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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  18. 18
    Performance of the ceRNAR package in five scenarios under the fast version using synthetic data with a fixed correlation value (0.9).

    Performance of the ceRNAR package in five scenarios under the fast version using synthetic data with a fixed correlation value (0.9). by Yi-Wen Hsiao (13767916)

    Published 2022
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  19. 19
    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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  20. 20
    A summary of the five scenarios.

    A summary of the five scenarios. by Yi-Wen Hsiao (13767916)

    Published 2022
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