SKIL and gastric cancer: The bioinformatics and machine learning approach determined previously identified biomolecules associated with GC as well as novel diagnostic and/or prognostic biomarker candidates such as AES, CEBPZ, GRK6, HPGDS, SKIL, and SP3.