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Analysis and Prediction of Myristoylation Sites Using the mRMR Method, the IFS Method and an Extreme Learning Machine Algorithm
Wang, ShaoPeng[1]; Zhang, Yu-Hang[2]; Huang, GuoHua[3]; Chen, Lei[4]; Cai, Yu-Dong[5]
刊名COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
2017
卷号20页码:96-106
关键词Post-translational modification myristoylation site prediction modified glycine residue extreme learning machine minimum redundancy maximum relevance incremental feature selection
ISSN号1386-2073
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/2188400
专题上海大学
作者单位1.[1]Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China.
2.[2]Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, Shanghai 200031, Peoples R China.
3.[3]Shaoyang Univ, Dept Math, Shaoyang 422000, Hunan, Peoples R China.
4.[4]Shanghai Maritime Univ, Coll Informat Engn, Shanghai 201306, Peoples R China.
5.[5]Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China.
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GB/T 7714
Wang, ShaoPeng[1],Zhang, Yu-Hang[2],Huang, GuoHua[3],et al. Analysis and Prediction of Myristoylation Sites Using the mRMR Method, the IFS Method and an Extreme Learning Machine Algorithm[J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING,2017,20:96-106.
APA Wang, ShaoPeng[1],Zhang, Yu-Hang[2],Huang, GuoHua[3],Chen, Lei[4],&Cai, Yu-Dong[5].(2017).Analysis and Prediction of Myristoylation Sites Using the mRMR Method, the IFS Method and an Extreme Learning Machine Algorithm.COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING,20,96-106.
MLA Wang, ShaoPeng[1],et al."Analysis and Prediction of Myristoylation Sites Using the mRMR Method, the IFS Method and an Extreme Learning Machine Algorithm".COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING 20(2017):96-106.
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