Search alternatives:
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
pca function » gpcr function (Expand Search), a function (Expand Search), fc function (Expand Search)
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
pca function » gpcr function (Expand Search), a function (Expand Search), fc function (Expand Search)
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Performance evaluation of models on test dataset.
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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Topic classification based on KeyBERT-TextCNN.
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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163
Summary of perceived risk dimensions.
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.
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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168
Enrichment analysis of mRNA-RBP.
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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169
Enrichment analysis of drugs and target genes.
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).
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. …”
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177
Image_6_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg
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.…”
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178
Image_2_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg
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.…”
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179
Image_8_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg
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.…”
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Image_4_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg
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.…”