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	Maximal Information Coefficient and Support Vector Regression Based Nonlinear Feature Selection and QSAR Modeling on Toxicity of Alcohol Compounds to Tadpoles of Rana temporaria
	Wang, Lifeng; Xing, Pengwei; Wang, Cong; Zhou, Xiaomao; Dai, Zhijun*; Bai, Lianyang*
刊名	Journal of the Brazilian Chemical Society
	2019
卷号	30期号:2页码:279-285
关键词	alcohol compounds Rana temporaria feature selection support vector regression (SVR) qualitative structure-activity relationship (QSAR)
ISSN号	0103-5053
DOI	10.21577/0103-5053.20180176
URL标识	查看原文
WOS记录号	WOS:000453745200007
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5141514
专题	湖南农业大学
作者单位	1.[Wang, Cong 2.Wang, Lifeng 3.Zhou, Xiaomao 4.Bai, Lianyang] Hunan Acad Agr Sci, Hunan Agr Biotechnol Res Inst, Changsha 410125, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Wang, Lifeng,Xing, Pengwei,Wang, Cong,et al. Maximal Information Coefficient and Support Vector Regression Based Nonlinear Feature Selection and QSAR Modeling on Toxicity of Alcohol Compounds to Tadpoles of Rana temporaria[J]. Journal of the Brazilian Chemical Society,2019,30(2):279-285.
APA	Wang, Lifeng,Xing, Pengwei,Wang, Cong,Zhou, Xiaomao,Dai, Zhijun*,&Bai, Lianyang*.(2019).Maximal Information Coefficient and Support Vector Regression Based Nonlinear Feature Selection and QSAR Modeling on Toxicity of Alcohol Compounds to Tadpoles of Rana temporaria.Journal of the Brazilian Chemical Society,30(2),279-285.
MLA	Wang, Lifeng,et al."Maximal Information Coefficient and Support Vector Regression Based Nonlinear Feature Selection and QSAR Modeling on Toxicity of Alcohol Compounds to Tadpoles of Rana temporaria".Journal of the Brazilian Chemical Society 30.2(2019):279-285.

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