Fig. 2From: Machine learning to establish three sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with gastric cancerIdentification of prognostic related SMGs signature. (A) Ten-time cross‐validation for tuning parameter selection in the LASSO model of TCGA GC cohort. (B) Coefficient profiles of LASSO model. (C-E) Kaplan-Meier analysis of the expression of GLA (C), LAMC1 (D), TRAF2 (E) in TCGA GC cohort. (F) Co-expression correlation between 3-SMGs signature and prognostic SMGsBack to article page