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	Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches
	Li, Bi-Qing[1]; Hu, Le-Le[2]; Niu, Shen[3]; Cai, Yu-Dong[4]; Chou, Kuo-Chen[5]
刊名	JOURNAL OF PROTEOMICS
	2012
卷号	75页码:1654-1665
关键词	S-nitrosylation Maximum relevance minimum redundancy Incremental feature selection Nearest neighbor algorithm
ISSN号	1874-3919
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2295242
专题	上海大学
作者单位	1.[1]Chinese Acad Sci, Shanghai Inst Biol Sci, Key Lab Syst Biol, Shanghai 200031, Peoples R China. 2.[2]Shanghai Univ, Inst Syst Biol, Shanghai 200444, Peoples R China. 3.[3]Chinese Acad Sci, Shanghai Inst Biol Sci, Key Lab Syst Biol, Shanghai 200031, Peoples R China. 4.[4]Shanghai Univ, Inst Syst Biol, Shanghai 200444, Peoples R China. 5.Fudan Univ, Ctr Computat Syst Biol, Shanghai 200433, Peoples R China. 6.Gordon Life Sci Inst, San Diego, CA USA. 7.[5]Gordon Life Sci Inst, San Diego, CA USA.
推荐引用方式 GB/T 7714	Li, Bi-Qing[1],Hu, Le-Le[2],Niu, Shen[3],et al. Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches[J]. JOURNAL OF PROTEOMICS,2012,75:1654-1665.
APA	Li, Bi-Qing[1],Hu, Le-Le[2],Niu, Shen[3],Cai, Yu-Dong[4],&Chou, Kuo-Chen[5].(2012).Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches.JOURNAL OF PROTEOMICS,75,1654-1665.
MLA	Li, Bi-Qing[1],et al."Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches".JOURNAL OF PROTEOMICS 75(2012):1654-1665.

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