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Showing 761 - 773 results of 773 for search '(( algorithm within function ) OR ((( algorithm python function ) OR ( algorithm fc function ))))', query time: 0.30s Refine Results
  1. 761
    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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  2. 762
    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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  3. 763
    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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  4. 764
    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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  5. 765
    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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  6. 766
    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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  7. 767
    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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  8. 768
    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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  9. 769
    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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  10. 770
    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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  11. 771
    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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  12. 772
    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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  13. 773
    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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