يعرض 861 - 873 نتائج من 873 نتيجة بحث عن '(( algorithm ((within function) OR (brain function)) ) OR ( algorithm python function ))*', وقت الاستعلام: 0.40s تنقيح النتائج
  1. 861

    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. …"
  2. 862

    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. …"
  3. 863

    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. …"
  4. 864

    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. …"
  5. 865

    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. …"
  6. 866

    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. …"
  7. 867

    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. …"
  8. 868

    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.…"
  9. 869

    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.…"
  10. 870

    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.…"
  11. 871

    Raw LC-MS/MS and RNA-Seq Mitochondria data حسب Stefano Martellucci (16284377)

    منشور في 2025
    "…Differentially altered pathways were evaluated by using the enrich plot package in R for visualization of functional enrichment (i.e., dot plot).</p>…"
  12. 872

    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. 873

    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. …"