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. 2021 May 20;21:269. doi: 10.1186/s12935-021-01965-1

Fig. 3.

Fig. 3

LASSO penalized Cox model, random forest model and PPI analysis for selecting core GPL-related genes. a Nine key GPL-related genes were predicted based on ridge regression and LASSO. b The top ten genes were selected by the random forest algorithm. c The PPI network downloaded from the STRING database was constructed with nodes with interaction confidence values >0.65. d Venn plot displaying four core GPL-related intersecting genes according to the LASSO algorithm, random forest algorithm and PPI analysis