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Flow chart of signature genes selection using GE and CNV data. MGPLS-UVE algorithm with 10 times of 6-fold cross-validation is employed to select the genes with the stably highest contribution to SF2 predicting model. There are 7622 variables at the beginning and 500 variables are left after MGPLS rough selection.
