National Natural Science Founda-tion of China [82074250]; Hunan Provincial Natural Science Foundation of China [2021JJ30508,2020JJ4063]; Hunan Provincial Traditional Chinese Medicine Research Project [2021055]; Changsha Outstanding Innovative Youth Training Program [kq2106063]; Hunan Provincial Education Department [21B0387]; Hunan provincial key laboratory of integrated traditional Chinese and Western medicine
机构署名:
本校为第一且通讯机构
院系归属:
医学院
摘要:
This study aimed to identify potential biomarkers for non-small cell lung cancer (NSCLC) and analyze the role of immune cell infiltration in NSCLC. R software was used to screen differentially expressed genes (DEGs) from NSCLC datasets obtained from the Gene Expression Omnibus (GEO) database, and functional correlation analysis was performed. The machine learning algorithms were used to screen the potential biomarkers of NSCLC. The diagnostic values were assessed through receiver operating characteristic (ROC) curves. The protein and mRNA expre...