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Additional file 4 of Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model

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https://figshare.com/articles/dataset/Additional_file_4_of_Bioinformatic_analysis_of_underlying_mechanisms_of_Kawasaki_disease_via_Weighted_Gene_Correlation_Network_Analysis_WGCNA_and_the_Least_Absolute_Shrinkage_and_Selection_Operator_method_LASSO_regression_model/22606634
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Additional file 4: Table S1. The results of all the statistical tests. DEGs are the genes with p-values < 0.05 and |log2 FC| ≥ 2 between KD and HC. GENES_IN_MODULES presents the modular distribution of genes according to the clustering of the WGCNA analysis. ENRICHED_GO_OF_HUB_MODULE and ENRICHED_PATHWAYS_OF_HUB_MODULE are the results of the enrichment analysis of genes in hub module using “clusterprofiler” R package. CIBERSORTx presents the proportions of immune cells in KD and HC, and the p-values between them.
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2023-02-24
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