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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2017    专题：上海大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Reciprocal regulation between βTrCP and Smurf1 suppresses proliferative capacity of liver cancer cells 期刊论文 Journal of cellular physiology, 2017, 卷号: 232, 页码: 3347-3359 作者:  Zhang Yue[1];  Wang Wenhua[2];  Cai Si[3];  Chen Yan[4];  Wang Qinwan[5] 收藏  |  浏览/下载：4/0  |  提交时间：2019/04/26 E3 ubiquitin ligase  post-translational modification  protein stability  tumor suppressor gene  ubiquitination   Computational Method for Distinguishing Lysine Acetylation, Sumoylation, and Ubiquitination using the Random Forest Algorithm with a Feature Selection Procedure 期刊论文 COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2017, 卷号: 20, 页码: 886-895 作者:  Wang, ShaoPeng[1];  Li, JiaRui[2];  Yuan, Fei[3];  Chen, Lei[4];  Huang, Tao[5] 收藏  |  浏览/下载：6/0  |  提交时间：2019/04/26 Post-translational modification  acetylation  sumoylation  ubiquitination  maximum relevance minimum redundancy  random forest  disordered region in protein   Computational Prediction of Protein Epsilon Lysine Acetylation Sites Based on a Feature Selection Method 期刊论文 COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2017, 卷号: 20, 页码: 629-637 作者:  Gao, Jianzhao[1];  Tao, Xue-Wen[2];  Zhao, Jia[3];  Feng, Yuan-Ming[4];  Cai, Yu-Dong[5] 收藏  |  浏览/下载：5/0  |  提交时间：2019/04/24 Acetylation  post-translational modification  dagging  maximum relevance minimum redundancy  incremental feature selection  epsilon lysine acetylation site   Predicting Citrullination Sites in Protein Sequences Using mRMR Method and Random Forest Algorithm 期刊论文 COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2017, 卷号: 20, 页码: 164-173 作者:  Zhang, Qing[1];  Sun, Xijun[2];  Feng, Kaiyan[3];  Wang, ShaoPeng[4];  Zhang, Yu-Hang[5] 收藏  |  浏览/下载：1/0  |  提交时间：2019/04/24 Post-translational modification  citrullination site  maximum relevance minimum redundancy  random forest   Analysis and Prediction of Myristoylation Sites Using the mRMR Method, the IFS Method and an Extreme Learning Machine Algorithm 期刊论文 COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2017, 卷号: 20, 页码: 96-106 作者:  Wang, ShaoPeng[1];  Zhang, Yu-Hang[2];  Huang, GuoHua[3];  Chen, Lei[4];  Cai, Yu-Dong[5] 收藏  |  浏览/下载：8/0  |  提交时间：2019/04/24 Post-translational modification  myristoylation site prediction  modified glycine residue  extreme learning machine  minimum redundancy maximum relevance  incremental feature selection