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Showing 6,141 - 6,160 results of 6,160 for search '(( algorithm b function ) OR ((( algorithm python function ) OR ( algorithm within function ))))', query time: 0.63s Refine Results
  1. 6141
    DataSheet_6_Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing.csv

    DataSheet_6_Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing.csv by Xiaoguang Niu (17293525)

    Published 2023
    “…Three bulk RNA-seq datasets were merged and used to identify the differentially expressed genes (DEGs), biological functions, and immune characteristics. Weighted gene coexpression network analysis (WGCNA) was used to select the IAG score-related hub genes. …”
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  2. 6142
    Image 5_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 5_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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  3. 6143
    DataSheet_5_Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing.csv

    DataSheet_5_Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing.csv by Xiaoguang Niu (17293525)

    Published 2023
    “…Three bulk RNA-seq datasets were merged and used to identify the differentially expressed genes (DEGs), biological functions, and immune characteristics. Weighted gene coexpression network analysis (WGCNA) was used to select the IAG score-related hub genes. …”
    Save to List
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  4. 6144
    Image2_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG

    Image2_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG by Zhengjun Lin (11050797)

    Published 2022
    “…Furthermore, Gene Set Enrichment Analysis (GSEA) was conducted to explore the potential biological functions and downstream pathways of CREB3L1 in different human cancers. …”
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  5. 6145
    Table 2_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.xlsx

    Table 2_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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  6. 6146
    Image3_Role of ARRB1 in prognosis and immunotherapy: A Pan-Cancer analysis.jpeg

    Image3_Role of ARRB1 in prognosis and immunotherapy: A Pan-Cancer analysis.jpeg by Yingquan Ye (13036128)

    Published 2025
    “…ESTIMATE and CIBERSORT algorithms were performed to assess immune infiltration. …”
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  7. 6147
    Image 10_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 10_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in pre... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
    Save to List
    Saved in:
  8. 6148
    Image 2_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 2_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
    Save to List
    Saved in:
  9. 6149
    Image 7_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 7_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
    Save to List
    Saved in:
  10. 6150
    Image4_Role of ARRB1 in prognosis and immunotherapy: A Pan-Cancer analysis.jpeg

    Image4_Role of ARRB1 in prognosis and immunotherapy: A Pan-Cancer analysis.jpeg by Yingquan Ye (13036128)

    Published 2025
    “…ESTIMATE and CIBERSORT algorithms were performed to assess immune infiltration. …”
    Save to List
    Saved in:
  11. 6151
    Image3_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG

    Image3_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG by Zhengjun Lin (11050797)

    Published 2022
    “…Furthermore, Gene Set Enrichment Analysis (GSEA) was conducted to explore the potential biological functions and downstream pathways of CREB3L1 in different human cancers. …”
    Save to List
    Saved in:
  12. 6152
    Image5_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.PDF

    Image5_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.PDF by Zhengjun Lin (11050797)

    Published 2022
    “…Furthermore, Gene Set Enrichment Analysis (GSEA) was conducted to explore the potential biological functions and downstream pathways of CREB3L1 in different human cancers. …”
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  13. 6153
    DataSheet1_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.docx

    DataSheet1_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.docx by Zhengjun Lin (11050797)

    Published 2022
    “…Furthermore, Gene Set Enrichment Analysis (GSEA) was conducted to explore the potential biological functions and downstream pathways of CREB3L1 in different human cancers. …”
    Save to List
    Saved in:
  14. 6154
    Image_2_Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing.tif

    Image_2_Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing.tif by Xiaoguang Niu (17293525)

    Published 2023
    “…Three bulk RNA-seq datasets were merged and used to identify the differentially expressed genes (DEGs), biological functions, and immune characteristics. Weighted gene coexpression network analysis (WGCNA) was used to select the IAG score-related hub genes. …”
    Save to List
    Saved in:
  15. 6155
    DataSheet_7_Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing.csv

    DataSheet_7_Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing.csv by Xiaoguang Niu (17293525)

    Published 2023
    “…Three bulk RNA-seq datasets were merged and used to identify the differentially expressed genes (DEGs), biological functions, and immune characteristics. Weighted gene coexpression network analysis (WGCNA) was used to select the IAG score-related hub genes. …”
    Save to List
    Saved in:
  16. 6156
    Image 1_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision medicine.tif

    Image 1_Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in prec... by Yutong Fang (16621143)

    Published 2025
    “…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
    Save to List
    Saved in:
  17. 6157
    Image1_Role of ARRB1 in prognosis and immunotherapy: A Pan-Cancer analysis.jpeg

    Image1_Role of ARRB1 in prognosis and immunotherapy: A Pan-Cancer analysis.jpeg by Yingquan Ye (13036128)

    Published 2025
    “…ESTIMATE and CIBERSORT algorithms were performed to assess immune infiltration. …”
    Save to List
    Saved in:
  18. 6158
    Image1_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG

    Image1_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG by Zhengjun Lin (11050797)

    Published 2022
    “…Furthermore, Gene Set Enrichment Analysis (GSEA) was conducted to explore the potential biological functions and downstream pathways of CREB3L1 in different human cancers. …”
    Save to List
    Saved in:
  19. 6159
    Image3_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG

    Image3_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG by Zhengjun Lin (11050797)

    Published 2022
    “…Furthermore, Gene Set Enrichment Analysis (GSEA) was conducted to explore the potential biological functions and downstream pathways of CREB3L1 in different human cancers. …”
    Save to List
    Saved in:
  20. 6160
    Image1_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG

    Image1_Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.JPEG by Zhengjun Lin (11050797)

    Published 2022
    “…Furthermore, Gene Set Enrichment Analysis (GSEA) was conducted to explore the potential biological functions and downstream pathways of CREB3L1 in different human cancers. …”
    Save to List
    Saved in:

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