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Showing 1 - 20 results of 12,263 for search '(( algorithm 1 function ) OR ( algorithm graft function ))', query time: 1.32s Refine Results
  1. 1
    Functional enrichment and correlation analysis of hub DE-SRGs.

    Functional enrichment and correlation analysis of hub DE-SRGs. by Xihao Shen (20347942)

    Published 2024
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  2. 2
    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry.

    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

    Published 2024
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  3. 3
    Temporal changes of graft hemodynamic parameters in individual mouse are grouped based on parameter and graft.

    Temporal changes of graft hemodynamic parameters in individual mouse are grouped based on parameter and graft. by Sami Leon (12354577)

    Published 2022
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  4. 4
    S1 File -

    S1 File - by Xihao Shen (20347942)

    Published 2024
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  5. 5
    Establishment of a senescence-related graft survival prognostic model.

    Establishment of a senescence-related graft survival prognostic model. by Xihao Shen (20347942)

    Published 2024
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  6. 6
    Estimated group coefficient <i>β</i><sub>1</sub> vs. <i>γ</i> for <i>THC</i>.

    Estimated group coefficient <i>β</i><sub>1</sub> vs. <i>γ</i> for <i>THC</i>. by Sami Leon (12354577)

    Published 2022
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  7. 7
    Estimated group coefficient <i>β</i><sub>1</sub> vs. <i>γ</i> for <i>rTHC</i>.

    Estimated group coefficient <i>β</i><sub>1</sub> vs. <i>γ</i> for <i>rTHC</i>. by Sami Leon (12354577)

    Published 2022
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  8. 8
    The estimate of group effect in the SMM for <i>THC</i> and <i>rTHC</i> at <i>γ</i> = 0.5.

    The estimate of group effect in the SMM for <i>THC</i> and <i>rTHC</i> at <i>γ</i> = 0.5. by Sami Leon (12354577)

    Published 2022
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  9. 9
    GSVA analysis and Immunological analysis.

    GSVA analysis and Immunological analysis. by Xihao Shen (20347942)

    Published 2024
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  10. 10
    13 rejection predictive senescence-related genes(pSRGs).

    13 rejection predictive senescence-related genes(pSRGs). by Xihao Shen (20347942)

    Published 2024
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  11. 11
    Cell communication and establishment of senescence score.

    Cell communication and establishment of senescence score. by Xihao Shen (20347942)

    Published 2024
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  12. 12
    Reverse cumulative distribution and boxplot of residual for model performance comparison.

    Reverse cumulative distribution and boxplot of residual for model performance comparison. by Xihao Shen (20347942)

    Published 2024
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  13. 13
    Senescence/Aging-related pathways for GSVA analysis.

    Senescence/Aging-related pathways for GSVA analysis. by Xihao Shen (20347942)

    Published 2024
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  14. 14
    Discovering two KTx rejection subtypes.

    Discovering two KTx rejection subtypes. by Xihao Shen (20347942)

    Published 2024
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  15. 15
    Quality control and batch effect removal of scRNA analysis.

    Quality control and batch effect removal of scRNA analysis. by Xihao Shen (20347942)

    Published 2024
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  16. 16
    Features of 13 pSRGs obtained by machine learning methods.

    Features of 13 pSRGs obtained by machine learning methods. by Xihao Shen (20347942)

    Published 2024
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  17. 17
    Single-cell analysis of KTx rejection and healthy individuals.

    Single-cell analysis of KTx rejection and healthy individuals. by Xihao Shen (20347942)

    Published 2024
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  18. 18
    Construction of non-invasive diagnostic model and nomogram of AR.

    Construction of non-invasive diagnostic model and nomogram of AR. by Xihao Shen (20347942)

    Published 2024
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  19. 19
    6 data sets included in this study.

    6 data sets included in this study. by Xihao Shen (20347942)

    Published 2024
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  20. 20
    The flowchart illustrates the methodology employed in this study.

    The flowchart illustrates the methodology employed in this study. by Xihao Shen (20347942)

    Published 2024
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