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	Pattern recognition for cytotoxicity mode of action (MOA) of chemicals by using a high-throughput real-time cell analyzer
	Chen, Jiao[1]; Pan, Tianhong[2]; Chen, Shan[3]; Zou, Xiaobo[4]
刊名	RSC Advances
	2016
卷号	6期号:113页码:111718-111728
ISSN号	2046-2069
DOI	http://dx.doi.org/10.1039/c6ra18515k
URL标识	查看原文
收录类别	SCI(E) ; EI
WOS记录号	WOS:000389708700010
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5364604
专题	江苏大学
作者单位	[1]School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China |School of Electronics and Electrical Engineering, Changzhou College of Information Technology, Changzhou, Jiangsu, 213164, China [2]School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China [3]School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China [4]School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
推荐引用方式 GB/T 7714	Chen, Jiao[1],Pan, Tianhong[2],Chen, Shan[3],et al. Pattern recognition for cytotoxicity mode of action (MOA) of chemicals by using a high-throughput real-time cell analyzer[J]. RSC Advances,2016,6(113):111718-111728.
APA	Chen, Jiao[1],Pan, Tianhong[2],Chen, Shan[3],&Zou, Xiaobo[4].(2016).Pattern recognition for cytotoxicity mode of action (MOA) of chemicals by using a high-throughput real-time cell analyzer.RSC Advances,6(113),111718-111728.
MLA	Chen, Jiao[1],et al."Pattern recognition for cytotoxicity mode of action (MOA) of chemicals by using a high-throughput real-time cell analyzer".RSC Advances 6.113(2016):111718-111728.

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