يعرض 841 - 853 نتائج من 853 نتيجة بحث عن '(( algorithm within function ) OR ( ((algorithm python) OR (algorithm blood)) function ))', وقت الاستعلام: 0.30s تنقيح النتائج
  1. 841

    Etodolac utility in osteoarthritis: drug delivery challenges, topical nanotherapeutic strategies and potential synergies حسب Pavani Gaddala (19761334)

    منشور في 2024
    "…Inflammatory processes within OSA joints are regulated by pro-inflammatory and anti-inflammatory cytokines. …"
  2. 842

    Glucocorticoid related genes. حسب Yinghao Ren (17915291)

    منشور في 2025
    "…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
  3. 843

    CIBERSORTx results. حسب Yinghao Ren (17915291)

    منشور في 2025
    "…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
  4. 844

    Differential gene expression analysis results. حسب Yinghao Ren (17915291)

    منشور في 2025
    "…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
  5. 845

    GSEA result. حسب Yinghao Ren (17915291)

    منشور في 2025
    "…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
  6. 846

    Enrichment analysis of GO. حسب Yinghao Ren (17915291)

    منشور في 2025
    "…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
  7. 847

    Lasso gene RF hub gene. حسب Yinghao Ren (17915291)

    منشور في 2025
    "…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
  8. 848

    Enrichment analysis of KEGG. حسب Yinghao Ren (17915291)

    منشور في 2025
    "…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …"
  9. 849

    Image 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... حسب Zhaokai Zhou (15239078)

    منشور في 2025
    "…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…"
  10. 850

    Table 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... حسب Zhaokai Zhou (15239078)

    منشور في 2025
    "…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…"
  11. 851

    Image 2_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... حسب Zhaokai Zhou (15239078)

    منشور في 2025
    "…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…"
  12. 852

    DataSheet1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.docx حسب Yutong Fang (16621143)

    منشور في 2024
    "…Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. …"
  13. 853

    Table1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.xlsx حسب Yutong Fang (16621143)

    منشور في 2024
    "…Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. …"