Research Paper Volume 16, Issue 9 pp 7799—7817
Identifying lncRNAs and mRNAs related to survival of NSCLC based on bioinformatic analysis and machine learning
Figure 1. Screening prognosis-related mRNAs and lncRNAs based on TCGA data. (A) The sample relationship before and after batch effect removal. (B) Heatmap of differentially expressed mRNAs and lncRNAs in Tumor (994) vs Control (107) comparison group and Dead (394) vs Alive (600) comparison group. (C) A total of eight overlapping lncRNAs and 262 mRNAs were filtered. (D–E) The enrichment analysis of GO function and KEGG signal pathway based on DAVID was carried out for the overlapped mRNAs with significant differential expression.