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	Identification of synthetic lethality based on a functional network by using machine learning algorithms
	Li, JiaRui; Lu, Lin; Zhang, Yu-Hang; Liu, Min; Chen, Lei; Huang, Tao; Cai, Yu-Dong
刊名	JOURNAL OF CELLULAR BIOCHEMISTRY
	2019
卷号	Vol.120 No.1页码:405-416
关键词	maximum relevance and minimum redundancy (mRMR) random forest (RF) synthetic lethality
ISSN号	0730-2312
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4745481
专题	湖南大学
作者单位	1.Shanghai Univ, Sch Life Sci, 99 Shangda Rd, Shanghai 200444, Peoples R China 2.Columbia Univ, Dept Radiol, Med Ctr, New York, NY USA 3.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, 320 Yueyang Rd, Shanghai 200031, Peoples R China 4.Shanghai Maritime Univ, Coll Informat Engn, 1550 Haigang Ave, Shanghai 201306, Peoples R China
推荐引用方式 GB/T 7714	Li, JiaRui,Lu, Lin,Zhang, Yu-Hang,et al. Identification of synthetic lethality based on a functional network by using machine learning algorithms[J]. JOURNAL OF CELLULAR BIOCHEMISTRY,2019,Vol.120 No.1:405-416.
APA	Li, JiaRui.,Lu, Lin.,Zhang, Yu-Hang.,Liu, Min.,Chen, Lei.,...&Cai, Yu-Dong.(2019).Identification of synthetic lethality based on a functional network by using machine learning algorithms.JOURNAL OF CELLULAR BIOCHEMISTRY,Vol.120 No.1,405-416.
MLA	Li, JiaRui,et al."Identification of synthetic lethality based on a functional network by using machine learning algorithms".JOURNAL OF CELLULAR BIOCHEMISTRY Vol.120 No.1(2019):405-416.

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