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Showing 4,521 - 4,540 results of 4,588 for search '(( element method algorithm ) OR ((( data code algorithm ) OR ( data processing algorithm ))))', query time: 0.44s Refine Results
  1. 4521
    Image 7_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif

    Image 7_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

    Published 2025
    “…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …”
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  2. 4522
    Image 9_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif

    Image 9_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

    Published 2025
    “…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …”
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  3. 4523
    Image 2_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif

    Image 2_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

    Published 2025
    “…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …”
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  4. 4524
    Image 10_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif

    Image 10_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

    Published 2025
    “…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …”
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  5. 4525
    Image 1_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif

    Image 1_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

    Published 2025
    “…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …”
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  6. 4526
    Image 3_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif

    Image 3_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

    Published 2025
    “…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …”
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  7. 4527
    Image 5_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif

    Image 5_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

    Published 2025
    “…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …”
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  8. 4528
    Image 8_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif

    Image 8_Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.tif by Wuyuan Liao (21776432)

    Published 2025
    “…</p>Methods<p>We systematically collected and analyzed genomic and clinical data from patients receiving anti-PD-1/PD-L1 immunotherapy across multiple cohorts. …”
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  9. 4529
    Image 2_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.tif

    Image 2_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.tif by Siyu Tong (12905585)

    Published 2025
    “…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …”
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  10. 4530
    Image 4_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.tif

    Image 4_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.... by Xianchang Zeng (9329117)

    Published 2025
    “…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …”
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  11. 4531
    Image 3_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.tif

    Image 3_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.... by Xianchang Zeng (9329117)

    Published 2025
    “…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …”
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  12. 4532
    Table 3_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx

    Table 3_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx by Siyu Tong (12905585)

    Published 2025
    “…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …”
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  13. 4533
    Table 1_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx

    Table 1_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx by Siyu Tong (12905585)

    Published 2025
    “…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …”
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  14. 4534
    Supplementary file 1_Gene expression profile in colon cancer therapeutic resistance and its relationship with the tumor microenvironment.docx

    Supplementary file 1_Gene expression profile in colon cancer therapeutic resistance and its relationship with the tumor microenvironment.docx by Priscila Galvão Doria (22518647)

    Published 2025
    “…The following algorithms were used: i. Limma was applied to identify differentially expressed genes; ii. …”
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  15. 4535
    Image 5_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.tif

    Image 5_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.... by Xianchang Zeng (9329117)

    Published 2025
    “…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …”
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    Saved in:
  16. 4536
    Image 1_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.tif

    Image 1_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.tif by Siyu Tong (12905585)

    Published 2025
    “…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …”
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  17. 4537
    Image 3_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.jpeg

    Image 3_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.jpeg by Siyu Tong (12905585)

    Published 2025
    “…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …”
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  18. 4538
    Table 2_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx

    Table 2_Development and validation of a machine learning-driven mitochondrial gene signature for the diagnosis of breast cancer.xlsx by Siyu Tong (12905585)

    Published 2025
    “…Using 113 machine learning algorithms and MitoCarta mitochondrial genetics data, we developed a mitochondrial gene-based diagnostic model. …”
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    Saved in:
  19. 4539
    Image 2_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.tif

    Image 2_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.... by Xianchang Zeng (9329117)

    Published 2025
    “…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …”
    Save to List
    Saved in:
  20. 4540
    Image 1_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.tif

    Image 1_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.... by Xianchang Zeng (9329117)

    Published 2025
    “…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …”
    Save to List
    Saved in:

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