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Showing 161 - 180 results of 678 for search '(( binary based method optimization algorithm ) OR ( gene based cell optimization algorithm ))', query time: 0.52s Refine Results
  1. 161
    Flowchart scheme of the ML-based model.

    Flowchart scheme of the ML-based model. by Noshaba Qasmi (20405009)

    Published 2024
    “…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …”
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  2. 162
    Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.

    Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

    Published 2025
    “…Model evaluation was based on accuracy metrics and qualitative analysis of the confusion matrix.. …”
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  3. 163
    Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx

    Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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  4. 164
    Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf

    Image 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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  5. 165
    Table1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX

    Table1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  6. 166
    Image3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.tif

    Image3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.tif by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  7. 167
    Image1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.TIF

    Image1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.TIF by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  8. 168
    Table3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX

    Table3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  9. 169
    Table2_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX

    Table2_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  10. 170
    Image2_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.TIF

    Image2_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.TIF by Xiaofeng Cheng (1485481)

    Published 2022
    “…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …”
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  11. 171
    Image1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.pdf

    Image1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.pdf by Guoliang Cheng (12458973)

    Published 2024
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  12. 172
    Table1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.xls

    Table1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.xls by Guoliang Cheng (12458973)

    Published 2024
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  13. 173
    Table1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.XLSX

    Table1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.XLSX by Qiang-Sheng Wang (12641971)

    Published 2022
    “…<p>Background: Multiple myeloma (MM) is characterized by abnormal proliferation of bone marrow clonal plasma cells. Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”
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  14. 174
    Image2_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF

    Image2_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF by Qiang-Sheng Wang (12641971)

    Published 2022
    “…<p>Background: Multiple myeloma (MM) is characterized by abnormal proliferation of bone marrow clonal plasma cells. Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”
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  15. 175
    Image1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF

    Image1_Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.TIFF by Qiang-Sheng Wang (12641971)

    Published 2022
    “…<p>Background: Multiple myeloma (MM) is characterized by abnormal proliferation of bone marrow clonal plasma cells. Tumor immunotherapy, a new therapy that has emerged in recent years, offers hope to patients, and studying the expression characteristics of immune-related genes (IRGs) based on whole bone marrow gene expression profiling (GEP) in MM patients can help guide personalized immunotherapy.…”
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  16. 176
    Data Sheet 4_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf

    Data Sheet 4_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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  17. 177
    Data Sheet 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf

    Data Sheet 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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  18. 178
    Data Sheet 2_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf

    Data Sheet 2_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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  19. 179
    Data Sheet 3_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf

    Data Sheet 3_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.pdf by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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  20. 180
    Image_3_Machine learning-based on cytotoxic T lymphocyte evasion gene develops a novel signature to predict prognosis and immunotherapy responses for kidney renal clear cell carcinoma patients.jpeg

    Image_3_Machine learning-based on cytotoxic T lymphocyte evasion gene develops a novel signature to predict prognosis and immunotherapy responses for kidney renal clear cell carcin... by Mei Chen (197360)

    Published 2023
    “…Therefore, we use machine learning algorithms to construct a signature based on cytotoxic T lymphocyte evasion genes (CTLEGs) to predict the immunotherapy responses of patients, so as to screen patients effective for immunotherapy.…”
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