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Machine learning identification of the optimal prognostic signature. (A and B) Identification of 32 FPRGs through the LASSO algorithm; (C and D) identification of 70 FPRGs through the SVM-RFE algorithm; (E) acquisition of 28 candidate FPRGs after intersecting LASSO and SVM-RFE algorithms; and (F and G) construction of a six-FPRG signature through random survival forests variable hunting algorithm.
