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Supplementray Files.zip

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Figshare2023-01-27 更新2026-04-08 收录
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Supplementary files: 1. Supplementary materials: <strong>Figure S1:</strong> Protein-Protein Interaction Networks (PPI) of 310 genes from 20 AAMR-related gene sets; <strong>Figure S2: </strong>Heatmap and correlation analysis between TMEM251 and enrichment scores; <strong>Figure S3: </strong>Connections between hub genes and clinicopathological factors; <strong>Figure S4:</strong> Significantly enriched AAMR-related gene sets in GSEA; <strong>Figure S5: </strong>Immune infiltration heatmap of different risk groups; <strong>Figure S6: </strong>Gene mutation patterns of samples. <strong>(A) </strong>Gene mutation patterns of all samples (n = 330). <strong>(B)</strong> Gene mutation patterns of the low-risk group. <strong>(C)</strong> Gene mutation patterns of the high-risk group. <strong>Datasheet S1: </strong>Pearson correlation analysis between TMEM251 and other genes;<strong> Datasheet S2: </strong>GO analysis results (BP); <strong>Datasheet S3:</strong> GO analysis results (CC); <strong>Datasheet S4: </strong>GO analysis results (MF); <strong>Datasheet S5:</strong> KEGG analysis results;<strong> Datasheet S6: </strong>310 research genes from the 20 enriched gene sets; <strong>Datasheet S7: </strong>Unsupervised cluster analysis based on 1234 TMEM251-coexpression genes; <strong>Datasheet S8: </strong>Unsupervised cluster analysis based on 310 genes from the 20 enriched gene sets; <strong>Datasheet S9: </strong>Unsupervised cluster analysis based on GSVA enrichment scores; <strong>Datasheet S10: </strong>Differential gene expression analysis between cancer and normal samples;<strong> Datasheet S11: </strong>The intersection of 310 genes and DEGs; <strong>Datasheet S12:</strong> LASSO regression analysis of 55 research genes;<strong> Datasheet S13: </strong>Stepwise multivariate Cox regression analysis for the predictive model; <strong>Datasheet S14: </strong>Multivariate Cox proportional hazard regression model (without N stage); <strong>Datasheet S15:</strong> Gene Set Enrichment Analysis (GSEA) results between different risk groups; <strong>Datasheet S16: </strong>Immune infiltration analysis (CIBERSORT) results; <strong>Datasheet S17:</strong> Tumor mutation burden (TMB) scores of all samples. 2. Supplementary other files: <strong>Raw data: </strong>All raw data included in this article.<strong> Code and datasheet: </strong>Software codes and associated datasheet.
提供机构:
Chen, Yuxing
创建时间:
2023-01-27
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