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Showing 301 - 320 results of 3,694 for search '(( algorithm within function ) OR ((( algorithm python function ) OR ( algorithm i function ))))', query time: 0.47s Refine Results
  1. 301
    WGCNA and machine learning algorithms.

    WGCNA and machine learning algorithms. by Shushu Wang (6870191)

    Published 2024
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  2. 302
    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart.

    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

    Published 2025
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  3. 303
    Spectrograms extracted from the generalized S-transform corresponding to the adjustment parameters λ<sub><i>G</i></sub> = 0.05, λ<sub><i>L</i></sub> = 0.01.

    Spectrograms extracted from the generalized S-transform corresponding to the adjustment parameters λ<sub><i>G</i></sub> = 0.05, λ<sub><i>L</i></sub> = 0.01. by Li Jiashen (20552690)

    Published 2025
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  4. 304
    The optimal MAE values and corresponding hyperparameters (Gaussian noise with <i>σ</i> = 10<sup>−3</sup>).

    The optimal MAE values and corresponding hyperparameters (Gaussian noise with <i>σ</i> = 10<sup>−3</sup>). by Limin Ma (556873)

    Published 2024
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  5. 305
    The optimal MAE values and corresponding hyperparameters (Gaussian noise with <i>σ</i> = 10<sup>−2</sup>).

    The optimal MAE values and corresponding hyperparameters (Gaussian noise with <i>σ</i> = 10<sup>−2</sup>). by Limin Ma (556873)

    Published 2024
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  6. 306
    Single-cell RNA sequencing analysis reveals the expression patterns of the prognostic signature across cellular subpopulations.

    Single-cell RNA sequencing analysis reveals the expression patterns of the prognostic signature across cellular subpopulations. by Xiangxin Wu (22320058)

    Published 2025
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  7. 307
    Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry

    Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry by Jennifer Bulyaki (22283308)

    Published 2025
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  8. 308
    The AEs and corresponding MSEs of <i>β</i> in the GIED model under different censoring schemes.

    The AEs and corresponding MSEs of <i>β</i> in the GIED model under different censoring schemes. by Qin Gong (118801)

    Published 2024
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  9. 309
    The AEs and corresponding MSEs of <i>λ</i> in the GIED model under different censoring schemes.

    The AEs and corresponding MSEs of <i>λ</i> in the GIED model under different censoring schemes. by Qin Gong (118801)

    Published 2024
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  10. 310
    Greedy optimization algorithm.

    Greedy optimization algorithm. by Alexis Bénichou (19832361)

    Published 2024
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  11. 311
    The structure of genetic algorithm (GA).

    The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

    Published 2024
    “…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”
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  12. 312
    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>G</i></sub> = 2, adjusting the size of the parameter λ<sub><i>L</i></sub>.

    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>G</i></sub> = 2, adjusting the size of the parameter λ<sub><i>L</i></sub>. by Li Jiashen (20552690)

    Published 2025
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  13. 313
    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>L</i></sub> = 10, adjusting the size of the parameter λ<sub><i>G</i></sub>.

    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>L</i></sub> = 10, adjusting the size of the parameter λ<sub><i>G</i></sub>. by Li Jiashen (20552690)

    Published 2025
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  14. 314
    Numerical <i>RMSE</i> results in parameters estimation of RTC-F solar cell.

    Numerical <i>RMSE</i> results in parameters estimation of RTC-F solar cell. by Ziad M. Ali (12516532)

    Published 2024
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  15. 315
    Numerical <i>RMSE</i> results in parameters estimation of PWP201 solar module.

    Numerical <i>RMSE</i> results in parameters estimation of PWP201 solar module. by Ziad M. Ali (12516532)

    Published 2024
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  16. 316
    Table 8_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx

    Table 8_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx by Peng Zhu (277243)

    Published 2025
    “…This analysis also validated FLAD1 upregulation within the spatial context of the tumor. …”
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  17. 317
    Table 9_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx

    Table 9_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx by Peng Zhu (277243)

    Published 2025
    “…This analysis also validated FLAD1 upregulation within the spatial context of the tumor. …”
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  18. 318
    Table 4_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx

    Table 4_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx by Peng Zhu (277243)

    Published 2025
    “…This analysis also validated FLAD1 upregulation within the spatial context of the tumor. …”
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  19. 319
    Table 3_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx

    Table 3_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx by Peng Zhu (277243)

    Published 2025
    “…This analysis also validated FLAD1 upregulation within the spatial context of the tumor. …”
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  20. 320
    Table 7_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx

    Table 7_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx by Peng Zhu (277243)

    Published 2025
    “…This analysis also validated FLAD1 upregulation within the spatial context of the tumor. …”
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