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Showing 1 - 20 results of 656 for search '(( genes based method optimization algorithm ) OR ( library based co optimization algorithm ))', query time: 0.73s Refine Results
  1. 1
    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE46691.

    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE46691. by Stephen R. Piccolo (8367780)

    Published 2022
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  2. 2
    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE10320.

    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE10320. by Stephen R. Piccolo (8367780)

    Published 2022
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  3. 3
    Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection.

    Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection. by Stephen R. Piccolo (8367780)

    Published 2022
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  4. 4
    Optimal ALARM BN discovered by CausNet.

    Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

    Published 2025
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  5. 5
    UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms.

    UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. by Fatemeh Keikha (20917848)

    Published 2025
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  6. 6
    Top 50 genes according to average rank across feature-selection algorithms for GSE10320 and GSE46691.

    Top 50 genes according to average rank across feature-selection algorithms for GSE10320 and GSE46691. by Stephen R. Piccolo (8367780)

    Published 2022
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  7. 7
    Initialization of variables in the APDCA algorithm.

    Initialization of variables in the APDCA algorithm. by Yangsong He (13909371)

    Published 2025
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  8. 8
    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.

    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. by Nand Sharma (21519845)

    Published 2025
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  9. 9
    Comparison of lower bounds in estimating kinetic parameters <i>k</i><sub><i>i</i></sub> obtained by HS-OED algorithm and GA,PSO-based OED methods.

    Comparison of lower bounds in estimating kinetic parameters <i>k</i><sub><i>i</i></sub> obtained by HS-OED algorithm and GA,PSO-based OED methods. by Wei Zhang (405)

    Published 2019
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  10. 10
    The flow chart of harmony search-based OED using a double nested loops.

    The flow chart of harmony search-based OED using a double nested loops. by Wei Zhang (405)

    Published 2019
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  11. 11
    Optimal use of statistical methods to validate reference gene stability in longitudinal studies

    Optimal use of statistical methods to validate reference gene stability in longitudinal studies by Venkat Krishnan Sundaram (7026989)

    Published 2019
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  12. 12
    Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical predictors.

    Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical pre... by Stephen R. Piccolo (8367780)

    Published 2022
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  13. 13
    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing hyperparameter optimization.

    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing hyperparameter optimization. by Stephen R. Piccolo (8367780)

    Published 2022
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  14. 14
    Summary of predictive performance per dataset when using gene-expression predictors.

    Summary of predictive performance per dataset when using gene-expression predictors. by Stephen R. Piccolo (8367780)

    Published 2022
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  15. 15
    Summary of predictive performance per dataset when using gene-expression and clinical predictors.

    Summary of predictive performance per dataset when using gene-expression and clinical predictors. by Stephen R. Piccolo (8367780)

    Published 2022
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  16. 16
    Comparison of ranks for classification algorithms across performance metrics.

    Comparison of ranks for classification algorithms across performance metrics. by Stephen R. Piccolo (8367780)

    Published 2022
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  17. 17
    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection with hyperparameter optimization.

    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection with hyperparameter optimization. by Stephen R. Piccolo (8367780)

    Published 2022
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  18. 18
    Tradeoff between execution time and predictive performance for classification algorithms.

    Tradeoff between execution time and predictive performance for classification algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
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  19. 19
    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection.

    Summary of predictive performance per dataset when using gene-expression and clinical predictors and performing feature selection. by Stephen R. Piccolo (8367780)

    Published 2022
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  20. 20
    GeneScan profiles of human peripheral blood samples.

    GeneScan profiles of human peripheral blood samples. by Nika Abdollahi (4966120)

    Published 2022
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