Fig. 1
From: Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer
The overview. Step1, The genomic variation spectrum of gastric cancer patients were constructed using TCGA multi-omics data (including copy number alteration, mutation and mRNA expression level), and the candidate genes were screened. Step2, Identification of key driver (KD) genes related to prognosis in gastric cancer patients based on expression data and clinical data. Step3, The transcriptional dysregulation network of gastric cancer patients was constructed based on the relationship between known regulatory factors (miRNAs and TFs) and target genes