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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Integrated multi-omics analysis and machine learning developed a prognostic model based on mitochondrial function in a large multicenter cohort for Gastric Cancer

Fig. 1

Preliminary screening of MitoScore signature. A Volcano plot of the differential expressed mitochondria-associated genes analysis in the GC and adjacent normal tissues. Red/blue dots represent upregulated/downregulated genes according to the criteria; B Venn plot of DEG, prognostic genes, and mitochondria-associated genes; C 101 different combinations of machine learning algorithms used by MitoScore. Each model’s c-index was calculated; Survival status, time distribution, tSNE analysis, and PCA analysis between two different subgroups

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