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Showing 1,721 - 1,740 results of 1,970 for search '(((( algorithm co function ) OR ( algorithm wave function ))) OR ( algorithm python function ))', query time: 0.48s Refine Results
  1. 1721
    Table 8_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx

    Table 8_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  2. 1722
    Image_1_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.tif

    Image_1_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.tif by Mei Chen (197360)

    Published 2022
    “…Finally, weighted gene co-expression network analysis was used in identifying the key PMRGs closely related to ccRCC, and cell function experiments were carried out.…”
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  3. 1723
    Table 1_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx

    Table 1_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  4. 1724
    Table 2_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx

    Table 2_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  5. 1725
    Image_3_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.tif

    Image_3_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.tif by Mei Chen (197360)

    Published 2022
    “…Finally, weighted gene co-expression network analysis was used in identifying the key PMRGs closely related to ccRCC, and cell function experiments were carried out.…”
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  6. 1726
    Table 3_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx

    Table 3_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  7. 1727
    Table 5_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.doc

    Table 5_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.doc by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  8. 1728
    Table 13_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.doc

    Table 13_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.doc by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  9. 1729
    Table_1_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.xlsx

    Table_1_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.xlsx by Mei Chen (197360)

    Published 2022
    “…Finally, weighted gene co-expression network analysis was used in identifying the key PMRGs closely related to ccRCC, and cell function experiments were carried out.…”
    Save to List
    Saved in:
  10. 1730
    Table 6_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx

    Table 6_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  11. 1731
    Table 11_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx

    Table 11_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  12. 1732
    Table_4_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.xlsx

    Table_4_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.xlsx by Mei Chen (197360)

    Published 2022
    “…Finally, weighted gene co-expression network analysis was used in identifying the key PMRGs closely related to ccRCC, and cell function experiments were carried out.…”
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  13. 1733
    Table1_Neutrophil extracellular traps (NETs)-related lncRNAs signature for predicting prognosis and the immune microenvironment in breast cancer.XLSX

    Table1_Neutrophil extracellular traps (NETs)-related lncRNAs signature for predicting prognosis and the immune microenvironment in breast cancer.XLSX by Tongchao Jiang (7329257)

    Published 2023
    “…</p><p>Methods: The expression profiles of RNA-sequencing and relevant clinical data of BC patients were extracted from TCGA database. The co-expression network analysis, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were employed to construct the NETs-related lncRNAs signature. …”
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  14. 1734
    Table4_Neutrophil extracellular traps (NETs)-related lncRNAs signature for predicting prognosis and the immune microenvironment in breast cancer.XLSX

    Table4_Neutrophil extracellular traps (NETs)-related lncRNAs signature for predicting prognosis and the immune microenvironment in breast cancer.XLSX by Tongchao Jiang (7329257)

    Published 2023
    “…</p><p>Methods: The expression profiles of RNA-sequencing and relevant clinical data of BC patients were extracted from TCGA database. The co-expression network analysis, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were employed to construct the NETs-related lncRNAs signature. …”
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  15. 1735
    Table3_Neutrophil extracellular traps (NETs)-related lncRNAs signature for predicting prognosis and the immune microenvironment in breast cancer.xlsx

    Table3_Neutrophil extracellular traps (NETs)-related lncRNAs signature for predicting prognosis and the immune microenvironment in breast cancer.xlsx by Tongchao Jiang (7329257)

    Published 2023
    “…</p><p>Methods: The expression profiles of RNA-sequencing and relevant clinical data of BC patients were extracted from TCGA database. The co-expression network analysis, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were employed to construct the NETs-related lncRNAs signature. …”
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  16. 1736
    Table 7_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx

    Table 7_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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  17. 1737
    Table_3_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.docx

    Table_3_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.docx by Mei Chen (197360)

    Published 2022
    “…Finally, weighted gene co-expression network analysis was used in identifying the key PMRGs closely related to ccRCC, and cell function experiments were carried out.…”
    Save to List
    Saved in:
  18. 1738
    Image_2_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.tif

    Image_2_Development of a polyamine gene expression score for predicting prognosis and treatment response in clear cell renal cell carcinoma.tif by Mei Chen (197360)

    Published 2022
    “…Finally, weighted gene co-expression network analysis was used in identifying the key PMRGs closely related to ccRCC, and cell function experiments were carried out.…”
    Save to List
    Saved in:
  19. 1739
    Table2_Neutrophil extracellular traps (NETs)-related lncRNAs signature for predicting prognosis and the immune microenvironment in breast cancer.XLSX

    Table2_Neutrophil extracellular traps (NETs)-related lncRNAs signature for predicting prognosis and the immune microenvironment in breast cancer.XLSX by Tongchao Jiang (7329257)

    Published 2023
    “…</p><p>Methods: The expression profiles of RNA-sequencing and relevant clinical data of BC patients were extracted from TCGA database. The co-expression network analysis, univariable, least absolute shrinkage and selection operator (LASSO) and multivariable Cox algorithms were employed to construct the NETs-related lncRNAs signature. …”
    Save to List
    Saved in:
  20. 1740
    Table 10_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx

    Table 10_Decoding immune-metabolic crosstalk in ARDS: a transcriptomic exploration of biomarkers, cellular dynamics, and therapeutic pathways.xlsx by Ting Wu (106368)

    Published 2025
    “…</p>Results<p>Through machine learning algorithms, RPL14, SMARCD3, and TCN1 were identified as candidate biomarkers. …”
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    Saved in:

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