Showing 61 - 80 results of 2,103 for search '(( algorithm within function ) OR ( algorithm machine function ))', query time: 0.45s Refine Results
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    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
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  11. 71

    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
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  12. 72

    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
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  13. 73

    Table 1_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
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  14. 74

    Image 1_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif by Peng Zhu (277243)

    Published 2025
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  15. 75

    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
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  16. 76

    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
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  17. 77

    Table 10_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
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  18. 78

    Image 2_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif by Peng Zhu (277243)

    Published 2025
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  19. 79

    Table 5_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
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”
  20. 80

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

    Published 2025
    “…A modeling approach using 92 combinations of nine machine learning algorithms was applied, producing a predictive model with good performance. …”