Identifying oxidative stress-related biomarkers in idiopathic pulmonary fibrosis in the context of predictive, preventive, and personalized medicine using integrative omics approaches and machine-learning strategies.
利用整合组学方法和机器学习策略，在预测性、预防性和个性化医疗的背景下，识别特发性肺纤维化中与氧化应激相关的生物标志物
期刊:Epma Journal
影响因子:5.9
doi:10.1007/s13167-023-00334-4
Yang Fan, Wendusubilige, Kong Jingwei, Zong Yuhan, Wang Manting, Jing Chuanqing, Ma Zhaotian, Li Wanyang, Cao Renshuang, Jing Shuwen, Gao Jie, Li Wenxin, Wang Ji
