Showing 161 - 180 results of 340 for search 'algorithm pca function', query time: 0.21s Refine Results
  1. 161

    Performance evaluation of models on test dataset. by Lin Qi (128224)

    Published 2025
    “…Subsequently, we combine these thematic features with product and merchant characteristics. Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”
  2. 162

    Topic classification based on KeyBERT-TextCNN. by Lin Qi (128224)

    Published 2025
    “…Subsequently, we combine these thematic features with product and merchant characteristics. Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”
  3. 163

    Summary of perceived risk dimensions. by Lin Qi (128224)

    Published 2025
    “…Subsequently, we combine these thematic features with product and merchant characteristics. Using the PCA-K-medoids-XGBoost algorithm, we developed a predictive model for perceived risk. …”
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    List of palmitoylation-related genes. by Qijun Wo (12992781)

    Published 2025
    “…A diagnostic model based on these genes achieved an AUC of 0.929, demonstrating robust accuracy in distinguishing PCa from normal tissues. Functional analysis revealed roles in lipid metabolism and immune modulation, with ssGSEA highlighting correlations between key genes and immune cell infiltration. …”
  8. 168

    Enrichment analysis of mRNA-RBP. by Qijun Wo (12992781)

    Published 2025
    “…A diagnostic model based on these genes achieved an AUC of 0.929, demonstrating robust accuracy in distinguishing PCa from normal tissues. Functional analysis revealed roles in lipid metabolism and immune modulation, with ssGSEA highlighting correlations between key genes and immune cell infiltration. …”
  9. 169

    Enrichment analysis of drugs and target genes. by Qijun Wo (12992781)

    Published 2025
    “…A diagnostic model based on these genes achieved an AUC of 0.929, demonstrating robust accuracy in distinguishing PCa from normal tissues. Functional analysis revealed roles in lipid metabolism and immune modulation, with ssGSEA highlighting correlations between key genes and immune cell infiltration. …”
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    Identification of the gene modules by weighted gene correlation network analysis (WGCNA). by Quan Du (58889)

    Published 2022
    “…Determination of parameter <i>β</i> of the adjacency function in the WGCNA algorithm. The higher the square value of the correlation coefficient is, the closer the network is to the distribution without network scale. …”
  17. 177

    Image_6_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”
  18. 178

    Image_2_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”
  19. 179

    Image_8_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”
  20. 180

    Image_4_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”