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上海大学 [17]

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期刊论文 [17]

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限定条件	专题：上海大学第一署名单位第一作者单位通讯作者单位

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	Prediction of Enzyme's Family Based on Protein-Protein Interaction Network 期刊论文 CURRENT BIOINFORMATICS, 2015, 卷号: 10, 页码: 16-21 作者: Niu, Bing[1]; Lu, Yin[2]; Lu, Jing[3]; Chen, Fuxue[4]; Zhao, Tonghui[5] 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/04/26 Amino acid frequency enzyme family classes jackknife test PPI network-based method
	Prediction of Metabolic Pathway Using Graph Property, Chemical Functional Group and Chemical Structural Set 期刊论文 CURRENT BIOINFORMATICS, 2013, 卷号: 8, 页码: 200-207 作者: Chen, Lei[1]; Zeng, Wei-Ming[2]; Cai, Yu-Dong[3]; Huang, Tao[4] 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/04/30 Chemical functional group chemical structural set compound similarity metabolic pathway minimum redundancy maximum relevance nearest neighbor algorithm jackknife cross-validation
	Analysis of Metabolic Pathway Using Hybrid Properties 期刊论文 PROTEIN AND PEPTIDE LETTERS, 2012, 卷号: 19, 页码: 99-107 作者: Chen, Lei[1]; Cai, Yu-Dong[2]; Shi, Xiao-He[3]; Huang, Tao[4] 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/04/30 Compounds-forming system metabolic pathway minimum redundancy maximum relevance nearest neighbor algorithm jackknife cross-validation
	PSCL: Predicting Protein Subcellular Localization Based on Optimal Functional Domains 期刊论文 PROTEIN AND PEPTIDE LETTERS, 2012, 卷号: 19, 页码: 15-22 作者: Wang, Kai[1]; Hu, Le-Le[2]; Shi, Xiao-He[3]; Dong, Ying-Song[4]; Li, Hai-Peng[5] 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/04/30 Incremental feature selection (IFS) jackknife test minimum redundancy maximum relevance (mRMR) nearest neighbor algorithm optimal functional domains protein subcellular localization
	Using Protein-protein Interaction Network Information to Predict the Subcellular Locations of Proteins in Budding Yeast 期刊论文 PROTEIN AND PEPTIDE LETTERS, 2012, 卷号: 19, 页码: 644-651 作者: Hu, Le-Le[1]; Feng, Kai-Yan[2]; Cai, Yu-Dong[3]; Chou, Kuo-Chen[4] 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/04/30 Jackknife test location-tethering network protein-protein interaction subcellular location tethering potential Yeast-PLoc
	Prediction of Protein Subcellular Multi-Localization Based on the General form of Chou's Pseudo Amino Acid Composition 期刊论文 PROTEIN AND PEPTIDE LETTERS, 2012, 卷号: 19, 页码: 375-387 作者: Li, Li-Qi[1]; Zhang, Yuan[2]; Zou, Ling-Yun[3]; Zhou, Yue[4]; Zheng, Xiao-Qi[5] 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/04/30 Amphiphilic pseudo amino acid composition ensemble classifier gene ontology jackknife test k-nearest neighbor multiple subcellular localization support vector machine
	Using Pseudo Amino Acid Composition to Predict Protease Families by Incorporating a Series of Protein Biological Features 期刊论文 PROTEIN AND PEPTIDE LETTERS, 2011, 卷号: 18, 页码: 552-558 作者: Hu, Lele[1]; Zheng, Lulu[2]; Wang, Zhiwen[3]; Li, Bing[4]; Liu, Lei[5] 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/04/30 Biochemical and physicochemical properties incremental feature selection jackknife test maximum relevance minimum redundancy nearest neighbor algorithm protease family
	Predicting Protein Subcellular Localization by Pseudo Amino Acid Composition with a Segment-Weighted and Features-Combined Approach 期刊论文 PROTEIN AND PEPTIDE LETTERS, 2011, 卷号: 18, 页码: 480-487 作者: Wang, Wei[1]; Geng, XingBo[2]; Dou, Yongchao[3]; Liu, Taigang[4]; Zheng, Xiaoqi[5] 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/04/30 Jackknife test mature protein optimal splice site pseudo amino acid composition sorting signal subcellular localization
	Prediction of Subcellular Location of Apoptosis Proteins Using Pseudo Amino Acid Composition: An Approach from Auto Covariance Transformation 期刊论文 PROTEIN AND PEPTIDE LETTERS, 2010, 卷号: 17, 页码: 1263-1269 作者: Liu, Taigang[1]; Zheng, Xiaoqi[2]; Wang, Chunhua[3]; Wang, Jun[4] 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/04/30 Apoptosis protein auto covariance transformation jackknife cross-validation test position-specific score matrix subcellular location support vector machine
	Prediction of Protein Subcellular Locations with Feature Selection and Analysis 期刊论文 PROTEIN AND PEPTIDE LETTERS, 2010, 卷号: 17, 页码: 464-472 作者: Cai, Yudong[1]; He, Jianfeng[2]; Li, Xinlei[3]; Feng, Kaiyan[4]; Lu, Lin[5] 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/04/30 Subcellular location of proteins Minimum Redundancy Maximum Relevance Feature Selection Nearest Neighbor Algorithm Jackknife cross-validation test

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