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Showing 21 - 39 results of 39 for search '(( gene based ap optimization algorithm ) OR ( binary basic based optimization algorithm ))*', query time: 0.60s Refine Results
  1. 21
    Clusters characteristics: Mean Cluster Error (MCE) and Standard Distance (SDist).

    Clusters characteristics: Mean Cluster Error (MCE) and Standard Distance (SDist). by Dmitrii Smirnov (8822324)

    Published 2020
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  2. 22
    Polynomial and Cauchy mutations with different distribution parameters.

    Polynomial and Cauchy mutations with different distribution parameters. by Dmitrii Smirnov (8822324)

    Published 2020
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  3. 23
    Model convergence to steady state.

    Model convergence to steady state. by Dmitrii Smirnov (8822324)

    Published 2020
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  4. 24
    CAGE measured mRNA-expression profiles for Patients 1–7.

    CAGE measured mRNA-expression profiles for Patients 1–7. by Dmitrii Smirnov (8822324)

    Published 2020
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  5. 25
    Dynamics of [Na<sup>+</sup>]<sub>i</sub> and [Ca<sup>2+</sup>]<sub>nsr</sub> concentration.

    Dynamics of [Na<sup>+</sup>]<sub>i</sub> and [Ca<sup>2+</sup>]<sub>nsr</sub> concentration. by Dmitrii Smirnov (8822324)

    Published 2020
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  6. 26
    <i>Patient 8</i> GA output model.

    <i>Patient 8</i> GA output model. by Dmitrii Smirnov (8822324)

    Published 2020
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  7. 27
    Solution sensitivity to the input baselines signal-to-noise ratio (SNR).

    Solution sensitivity to the input baselines signal-to-noise ratio (SNR). by Dmitrii Smirnov (8822324)

    Published 2020
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  8. 28
    Tissue effects.

    Tissue effects. by Dmitrii Smirnov (8822324)

    Published 2020
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  9. 29
    Random mutation direction in multi-dimensional parameter space.

    Random mutation direction in multi-dimensional parameter space. by Dmitrii Smirnov (8822324)

    Published 2020
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  10. 30
    Solution sensitivity to the number of input baselines.

    Solution sensitivity to the number of input baselines. by Dmitrii Smirnov (8822324)

    Published 2020
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  11. 31
    BRIDES node selection process for scenario Ap and Model B<sup>3</sup>D<sup>1</sup>E<sup>2</sup>S<sup>3</sup> (3, 0, 0, 1, 2, 3).

    BRIDES node selection process for scenario Ap and Model B<sup>3</sup>D<sup>1</sup>E<sup>2</sup>S<sup>3</sup> (3, 0, 0, 1, 2, 3). by Cindy Bouchard (6844979)

    Published 2022
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  12. 32
    Table_3_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.xlsx

    Table_3_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.xlsx by Changrui Qian (8041325)

    Published 2022
    “…The roles of these genes were investigated via the Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses. …”
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  13. 33
    Table_1_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.xlsx

    Table_1_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.xlsx by Changrui Qian (8041325)

    Published 2022
    “…The roles of these genes were investigated via the Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses. …”
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  14. 34
    Table_2_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.xlsx

    Table_2_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.xlsx by Changrui Qian (8041325)

    Published 2022
    “…The roles of these genes were investigated via the Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses. …”
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  15. 35
    Table_4_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.xlsx

    Table_4_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.xlsx by Changrui Qian (8041325)

    Published 2022
    “…The roles of these genes were investigated via the Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses. …”
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  16. 36
    Image_1_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.tif

    Image_1_Vesicle-mediated transport-related genes are prognostic predictors and are associated with tumor immunity in lung adenocarcinoma.tif by Changrui Qian (8041325)

    Published 2022
    “…The roles of these genes were investigated via the Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses. …”
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  17. 37
    Image 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics analysis.tif

    Image 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

    Published 2025
    “…Next, we comprehensively explored the distinct heterogeneity and characteristics for four CAFs-based BLCA subtypes. Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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  18. 38
    Table 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics analysis.docx

    Table 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

    Published 2025
    “…Next, we comprehensively explored the distinct heterogeneity and characteristics for four CAFs-based BLCA subtypes. Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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  19. 39
    Image 2_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics analysis.tif

    Image 2_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

    Published 2025
    “…Next, we comprehensively explored the distinct heterogeneity and characteristics for four CAFs-based BLCA subtypes. Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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