Showing 1 - 11 results of 11 for search 'multiple mediation detection algorithm', query time: 0.27s Refine Results
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    Table 3_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx by Aram Safrastyan (13386663)

    Published 2025
    “…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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    Table 1_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.docx by Aram Safrastyan (13386663)

    Published 2025
    “…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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    Table 2_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx by Aram Safrastyan (13386663)

    Published 2025
    “…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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    Table 4_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx by Aram Safrastyan (13386663)

    Published 2025
    “…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
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    Data Sheet 1_Resveratrol contributes to NK cell-mediated breast cancer cytotoxicity by upregulating ULBP2 through miR-17-5p downmodulation and activation of MINK1/JNK/c-Jun signali... by Bisha Ding (5803799)

    Published 2025
    “…Backgrounds<p>Natural killer (NK) cell mediated cytotoxicity is a crucial form of anti-cancer immune response. …”
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    Example video of a HRC ZDM laboratory test for the research project Zero0P by Helmut Zörrer (13189545)

    Published 2025
    “…Task assignment leverages a shortest-path algorithm (SPA) to mediate tasks to the operator and maintain efficient flow.…”
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    Supplementary file 1_Machine learning identifies immune-perinatal predictors of infantile hemangioma.xlsx by Dongdong Wu (824557)

    Published 2025
    “…Four machine learning algorithms—XGBoost, Random Forest, Support Vector Machine, and k-Nearest Neighbors—were employed to construct predictive models. …”
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    Supplementary file 2_Machine learning identifies immune-perinatal predictors of infantile hemangioma.xlsx by Dongdong Wu (824557)

    Published 2025
    “…Four machine learning algorithms—XGBoost, Random Forest, Support Vector Machine, and k-Nearest Neighbors—were employed to construct predictive models. …”
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    Data Sheet 1_Recognition of pivotal immune genes NR1H4 and IL4R as diagnostic biomarkers in distinguishing ovarian clear cell cancer from high-grade serous cancer.zip by Yumin Ke (14194880)

    Published 2025
    “…We further validated key DIRGs’ diagnostic ability via a validation set and immunohistochemistry (IHC). The CIBERSORT algorithm was used to analyze correlations between DIRGs and immune cell types in OCCC.…”