Architecting the metabolic reprogramming survival risk framework in LUAD through single-cell landscape analysis: three-stage ensemble learning with genetic algorithm optimization

Sun, Xinti; Nong, Minyu; Meng, Fei; Sun, Xiaojuan; Jiang, Lihe; Li, Zihao; Zhang, Peng

doi:10.1186/s12967-024-05138-2

Fig. 5

From: Architecting the metabolic reprogramming survival risk framework in LUAD through single-cell landscape analysis: three-stage ensemble learning with genetic algorithm optimization

The evaluation of the 3 S-MMR score and web-tool development. (A) Forest plots demonstrate the hazard ratio (HR), 95% confidence interval (CI), and the corresponding P values of both univariate Cox regression analysis and multivariate Cox regression analysis in 8 LUAD cohorts. (B) Comparison of time-dependent area under the receiver operating characteristic curve (AUC) values at 1-, 2-, and 3-year among the 3 S-MMR score and ensemble baseline models. (C) Comparison of C-index between models and clinical features in the TCGA cohort. (D) Circos plot of different clinical features in high and low 3 S-MMR score groups. (E) The page of 3 S-MMR score web-tool

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Fig. 5

Journal of Translational Medicine

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