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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     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 Segmentation and classification of two-channel C. elegans nucleus-labeled fluorescence images 其他 2017-01-01 Zhao, Mengdi; An, Jie; Li, Haiwen; Zhang, Jiazhi; Li, Shang-Tong; Li, Xue-Mei; Dong, Meng-Qiu; Mao, Heng; Tao, Louis 收藏  |  浏览/下载：116/0  |  提交时间：2017/12/03 C. elegans  Nucleus  Aging  Two-channel fluorescence image  Morphology  Segmentation  Classification  AGE-RELATED-CHANGES  AFFECT LIFE-SPAN  CAENORHABDITIS-ELEGANS  CELL SEGMENTATION  ARCHITECTURE  MORPHOLOGY  INTEGRITY   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   Feature Selection for Partial Discharge Severity Assessment in Gas-Insulated Switchgear Based on Minimum Redundancy and Maximum Relevance 期刊论文 ENERGIES, 2017, 卷号: 10, 期号: 10 作者:  Tang, Ju;  Jin, Miao;  Zeng, Fuping;  Zhou, Siyuan;  Zhang, Xiaoxing 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/05 gas-insulated switchgear (GIS)  partial discharge (PD)  feature selection  minimum-redundancy maximum-relevance (mRMR)  SVM  severity assessment   Predicting Hepatotoxicity of Drug Metabolites Via an Ensemble Approach Based on Support Vector Machine 期刊论文 COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2017, 卷号: 20, 期号: 10, 页码: 839-849 作者:  Lu, Yin;  Liu, Lili;  Lu, Dong;  Cai, Yudong;  Zheng, Mingyue 收藏  |  浏览/下载：18/0  |  提交时间：2019/01/08 DILI  hepatotoxicity  QSAR  drug metabolites  mRMR  SVM