Development of MIF/IL-1β biosensors for discovery of critical quality attributes and potential allergic rhinitis targets from clinical real-world data by intelligent algorithm coupled with in vitro an

	Development of MIF/IL-1β biosensors for discovery of critical quality attributes and potential allergic rhinitis targets from clinical real-world data by intelligent algorithm coupled with in vitro an
	Ma, Lijuan; Zheng, Yanfei; Wang, Ji; Li, Qianqian; Zeng, Jingqi; Wang, Zijian; Hou, Tingjun; Zhang, Yang; Li, Mingshuang; Shen, Rongmin; Chen, Xuemei; Qin, Jingbo; Lei, Leting; Xia, Qing; Wang, Qi; Qiao, Yanjiang; Wu, Zhisheng
刊名	BIOSENSORS & BIOELECTRONICS
	2021
卷号	194 页码:113608
公开日期	2021
内容类型	期刊论文
源URL	[http://ir.semi.ac.cn/handle/172111/30744]
专题	半导体研究所_光电子研究发展中心
推荐引用方式 GB/T 7714	Ma, Lijuan; Zheng, Yanfei; Wang, Ji; Li, Qianqian; Zeng, Jingqi; Wang, Zijian; Hou, Tingjun; Zhang, Yang; Li, Mingshuang; Shen, Rongmin; Chen, Xuemei; Qin, Jingbo; Lei, Leting; Xia, Qing; Wang, Qi; Qiao, Yanjiang; Wu, Zhisheng. Development of MIF/IL-1β biosensors for discovery of critical quality attributes and potential allergic rhinitis targets from clinical real-world data by intelligent algorithm coupled with in vitro an[J]. BIOSENSORS & BIOELECTRONICS,2021,194:113608.
APA	Ma, Lijuan; Zheng, Yanfei; Wang, Ji; Li, Qianqian; Zeng, Jingqi; Wang, Zijian; Hou, Tingjun; Zhang, Yang; Li, Mingshuang; Shen, Rongmin; Chen, Xuemei; Qin, Jingbo; Lei, Leting; Xia, Qing; Wang, Qi; Qiao, Yanjiang; Wu, Zhisheng.(2021).Development of MIF/IL-1β biosensors for discovery of critical quality attributes and potential allergic rhinitis targets from clinical real-world data by intelligent algorithm coupled with in vitro an.BIOSENSORS & BIOELECTRONICS,194,113608.
MLA	Ma, Lijuan; Zheng, Yanfei; Wang, Ji; Li, Qianqian; Zeng, Jingqi; Wang, Zijian; Hou, Tingjun; Zhang, Yang; Li, Mingshuang; Shen, Rongmin; Chen, Xuemei; Qin, Jingbo; Lei, Leting; Xia, Qing; Wang, Qi; Qiao, Yanjiang; Wu, Zhisheng."Development of MIF/IL-1β biosensors for discovery of critical quality attributes and potential allergic rhinitis targets from clinical real-world data by intelligent algorithm coupled with in vitro an".BIOSENSORS & BIOELECTRONICS 194(2021):113608.