Fig. 2: A consensus IRLS was developed and validated via the machine learning-based integrative procedure. | Nature Communications

Fig. 2: A consensus IRLS was developed and validated via the machine learning-based integrative procedure.

From: Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer

Fig. 2

A A total of 101 kinds of prediction models via LOOCV framework and further calculated the C-index of each model across all validation datasets. B In the TCGA-CRC cohort (n = 584), the determination of the optimal λ was obtained when the partial likelihood deviance reached the minimum value, and further generated Lasso coefficients of the most useful prognostic genes. Data are presented as mean ± 95% confidence interval [CI]. C Coefficients of 16 lncRNAs finally obtained in stepwise Cox regression. D–K Kaplan–Meier curves of OS according to the IRLS in TCGA-CRC (log-rank test: P = 9.16e−19) (D), GSE17536 (log-rank test: P = 2.79e−7) (E), GSE17537 (log-rank test: P = 0.011) (F), GSE29621 (log-rank test: P = 0.019) (G), GSE38832 (log-rank test: P = 1.87e−4) (H), GSE39582 (log-rank test: P = 2.06e−10) (I), GSE72970 (log-rank test: P = 0.0013) (J), and meta-cohort (log-rank test: P = 5.18e−35) (K).

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