Fig. 1 | Scientific Reports

Fig. 1

From: Multi-omics analysis identifies SNP-associated immune-related signatures by integrating Mendelian randomization and machine learning in hepatocellular carcinoma

Fig. 1

Gene screening and machine learning model construction. (A) The intersection of risk genes in MR and prognostic genes in TCGA and GSE54236. (B) The location of candidate genes on chromosomes. (C) The eQTL and HCC GWAS MR analysis results of 27 model genes. nsnp represents the number of valid SNPs. Only the results of the IVW method are shown. (D) The analysis results of 101 machine learning methods for candidate genes, showing the performance of different models in TCGA and GSE54236. The c-index value represents the performance of the model.

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