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Showing 301 - 307 results of 307 for search '(( node selection algorithm ) OR ( code encryption algorithm ))', query time: 0.27s Refine Results
  1. 301
    Table 5_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx

    Table 5_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx by Fengqiang Cui (21429032)

    Published 2025
    “…</p>Results<p>According to random survival forest (RSF) algorithm (the best combination with the greatest C-index of 0.799), 7 prognostic genes were selected, which are PGK1, BTG2, TANK, CFB, EIF4E3, TNFRSF18, and BATF. …”
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  2. 302
    Table 4_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx

    Table 4_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx by Fengqiang Cui (21429032)

    Published 2025
    “…</p>Results<p>According to random survival forest (RSF) algorithm (the best combination with the greatest C-index of 0.799), 7 prognostic genes were selected, which are PGK1, BTG2, TANK, CFB, EIF4E3, TNFRSF18, and BATF. …”
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  3. 303
    Table 1_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx

    Table 1_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx by Fengqiang Cui (21429032)

    Published 2025
    “…</p>Results<p>According to random survival forest (RSF) algorithm (the best combination with the greatest C-index of 0.799), 7 prognostic genes were selected, which are PGK1, BTG2, TANK, CFB, EIF4E3, TNFRSF18, and BATF. …”
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  4. 304
    Table 2_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx

    Table 2_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx by Fengqiang Cui (21429032)

    Published 2025
    “…</p>Results<p>According to random survival forest (RSF) algorithm (the best combination with the greatest C-index of 0.799), 7 prognostic genes were selected, which are PGK1, BTG2, TANK, CFB, EIF4E3, TNFRSF18, and BATF. …”
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  5. 305
    Landscape17

    Landscape17 by Vlad Carare (22092515)

    Published 2025
    “…The two-phase procedure is applied until a complete discrete path is obtained, using the missing connection algorithm to propose new pairs of minima for additional searches.…”
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  6. 306
    Image 1_Mitochondrial insights: key biomarkers and potential treatments for diabetic nephropathy and sarcopenia.tif

    Image 1_Mitochondrial insights: key biomarkers and potential treatments for diabetic nephropathy and sarcopenia.tif by Yi Wei Chen (21684728)

    Published 2025
    “…Using Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), Extreme Gradient Boosting (XGB), and Random Forest (RF) algorithms, we identified three key mitochondrial hub genes. …”
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  7. 307
    Data Sheet 1_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.docx

    Data Sheet 1_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.docx by Fengqiang Cui (21429032)

    Published 2025
    “…</p>Results<p>According to random survival forest (RSF) algorithm (the best combination with the greatest C-index of 0.799), 7 prognostic genes were selected, which are PGK1, BTG2, TANK, CFB, EIF4E3, TNFRSF18, and BATF. …”
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