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Showing 861 - 879 results of 879 for search '(( algorithm within function ) OR ((( algorithm python function ) OR ( algorithm body function ))))', query time: 0.37s Refine Results
  1. 861
    Enrichment analysis of GO.

    Enrichment analysis of GO. by Yinghao Ren (17915291)

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  2. 862
    Differential gene expression analysis results.

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

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  3. 863
    The flowchart of this study.

    The flowchart of this study. by Yinghao Ren (17915291)

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  4. 864
    DGIdb.

    DGIdb. by Yinghao Ren (17915291)

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  5. 865
    Etodolac utility in osteoarthritis: drug delivery challenges, topical nanotherapeutic strategies and potential synergies

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

    Published 2024
    “…Inflammatory processes within OSA joints are regulated by pro-inflammatory and anti-inflammatory cytokines. …”
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  6. 866
    Glucocorticoid related genes.

    Glucocorticoid related genes. by Yinghao Ren (17915291)

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  7. 867
    CIBERSORTx results.

    CIBERSORTx results. by Yinghao Ren (17915291)

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  8. 868
    Differential gene expression analysis results.

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

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  9. 869
    GSEA result.

    GSEA result. by Yinghao Ren (17915291)

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  10. 870
    Enrichment analysis of GO.

    Enrichment analysis of GO. by Yinghao Ren (17915291)

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  11. 871
    Lasso gene RF hub gene.

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

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  12. 872
    Enrichment analysis of KEGG.

    Enrichment analysis of KEGG. by Yinghao Ren (17915291)

    Published 2025
    “…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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  13. 873
    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 analysis.tif

    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... by Zhaokai Zhou (15239078)

    Published 2025
    “…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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  14. 874
    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 analysis.docx

    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... by Zhaokai Zhou (15239078)

    Published 2025
    “…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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  15. 875
    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 analysis.tif

    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... by Zhaokai Zhou (15239078)

    Published 2025
    “…Moreover, machine learning algorithms were applied to identify novel potential targets for each subtype, and experimentally validate their effects.…”
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  16. 876
    Raw LC-MS/MS and RNA-Seq Mitochondria data

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

    Published 2025
    “…Differentially altered pathways were evaluated by using the enrich plot package in R for visualization of functional enrichment (i.e., dot plot).</p>…”
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  17. 877
    DataSheet1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.docx

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

    Published 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. …”
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  18. 878
    Table1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.xlsx

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

    Published 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. …”
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  19. 879
    AP-2α 相关研究

    AP-2α 相关研究 by Ya-Hong Wang (21080642)

    Published 2025
    “…</p><p dir="ltr"><b>Figure 4 | Comparative transcriptomic analysis of the functional regulation of </b><b><i>VdAP-2α</i></b><b> in </b><b><i>Verticillium dahliae.…”
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