A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma

摘要

GO and KEGG pathway enrichment analyses are carried out on the screened DEGs. The volcano plots of DEGs obtained in TCGA database a and dataset {"type":"entrez-geo","attrs":{"text":"GSE75037","term_id":"75037"}}GSE75037 b (Red dots represent up-regulated genes and green dots represent down-regulated genes); The Venn diagram c of the DEGs in TCGA database and dataset {"type":"entrez-geo","attrs":{"text":"GSE75037","term_id":"75037"}}GSE75037; GO d and KEGG e pathway enrichment analyses results of the overlapping DEGs