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	Prediction of Linear B-Cell Epitopes with mRMR Feature Selection and Analysis
	Li, Bi-Qing[1]; Zheng, Lu-Lu[2]; Feng, Kai-Yan[3]; Hu, Le-Le[4]; Huang, Guo-Hua[5]; Chen, Lei[6]
刊名	CURRENT BIOINFORMATICS
	2016
卷号	11页码:22-31
关键词	B-cell epitope minimum redundancy maximum relevance incremental feature selection random forest algorithm
ISSN号	1574-8936
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/2235429
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]Huazhong Univ Sci & Technol, Hubei Bioinformat & Mol Imaging Key Lab, Wuhan 430074, Peoples R China. 3.[3]Guangdong AIB Polytech Coll, Dept Comp Sci, Guangzhou 510507, Guangdong, Peoples R China. 4.[4]Shanghai Univ, Coll Life Sci, Shanghai 200444, Peoples R China. 5.[5]Shanghai Univ, Coll Life Sci, Shanghai 200444, Peoples R China. 6.[6]Shanghai Maritime Univ, Coll Informat Engn, Shanghai 201306, Peoples R China.
推荐引用方式 GB/T 7714	Li, Bi-Qing[1],Zheng, Lu-Lu[2],Feng, Kai-Yan[3],et al. Prediction of Linear B-Cell Epitopes with mRMR Feature Selection and Analysis[J]. CURRENT BIOINFORMATICS,2016,11:22-31.
APA	Li, Bi-Qing[1],Zheng, Lu-Lu[2],Feng, Kai-Yan[3],Hu, Le-Le[4],Huang, Guo-Hua[5],&Chen, Lei[6].(2016).Prediction of Linear B-Cell Epitopes with mRMR Feature Selection and Analysis.CURRENT BIOINFORMATICS,11,22-31.
MLA	Li, Bi-Qing[1],et al."Prediction of Linear B-Cell Epitopes with mRMR Feature Selection and Analysis".CURRENT BIOINFORMATICS 11(2016):22-31.

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