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Study protocol for a parallel-group, double-blinded, randomized, controlled, noninferiority trial: the effect and safety of hybrid electroconvulsive therapy (Hybrid-ECT) compared with routine electroconvulsive therapy in patients with depression 期刊论文
BMC PSYCHIATRY, 2019, 卷号: 19, 期号: 1, 页码: 9
作者:  Rong, Han;  Xu, Shu-xian;  Zeng, Jing;  Yang, Ying-jia;  Zhao, Jie;  Lai, Wen-tao;  Chen, Li-chang;  Deng, Wen-feng;  Zhang, Xiangyang;  Zhang, Ying-li;  Li, Min-zhi;  Xiao, Li;  Xie, Xin-hui
收藏  |  浏览/下载：47/0  |  提交时间：2020/12/10
Study protocol  Randomized controlled trial  Hybrid electroconvulsive therapy  Electroconvulsive therapy  Depression  
Split Multiplicative Multi-View Subspace Clustering 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 5147-5160
作者:  Yang, Zhiyong;  Xu, Qianqian;  Zhang, Weigang;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：292/0  |  提交时间：2019/12/10
Computational and artificial intelligence  artificial intelligence  learning systems  unsupervised learning and computers and information processing  image processing  image representation  
Low-Light Image Enhancement via a Deep Hybrid Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 9, 页码: 4364-4375
作者:  Ren, Wenqi;  Liu, Sifei;  Ma, Lin;  Xu, Qianqian;  Xu, Xiangyu;  Cao, Xiaochun;  Du, Junping;  Yang, Ming-Hsuan
收藏  |  浏览/下载：517/0  |  提交时间：2019/08/16
Low-light image enhancement  convolutional neural network  recurrent neural network  
An extravascular fluid transport system based on structural framework of fibrous connective tissues in human body 期刊论文
CELL PROLIFERATION, 2019, 页码: 14
作者:  Li, Hongyi;  Yang, Chongqing;  Yin, Yajun;  Wang, Fang;  Chen, Min;  Xu, Liang;  Wang, Naili;  Zhang, Di;  Wang, Xiaoxia;  Kong, Yiya;  Li, Qing;  Su, Si;  Cao, Yupeng;  Liu, Wentao;  Ao, Zhuo;  Dai, Luru;  Ma, Chao;  Shang, Lijun;  Han, Dong;  Ji, Fusui;  Li, Hua
收藏  |  浏览/下载：76/0  |  提交时间：2019/12/10
extracellular matrix  fibrous connective tissues  gross anatomy  interfacial transport  interstitial fluid  
CNIT: a fast and accurate web tool for identifying protein-coding and long non-coding transcripts based on intrinsic sequence composition 期刊论文
NUCLEIC ACIDS RESEARCH, 2019, 卷号: 47, 期号: W1, 页码: W516-W522
作者:  Guo, Jin-Cheng;  Fang, Shuang-Sang;  Wu, Yang;  Zhang, Jian-Hua;  Chen, Yang;  Liu, Jing;  Wu, Bo;  Wu, Jia-Rui;  Li, En-Min;  Xu, Li-Yan;  Sun, Liang;  Zhao, Yi
收藏  |  浏览/下载：77/0  |  提交时间：2019/12/10
Precision De Novo Peptide Sequencing Using Mirror Proteases of Ac-LysargiNase and Trypsin for Large-scale Proteomics 期刊论文
MOLECULAR & CELLULAR PROTEOMICS, 2019, 卷号: 18, 期号: 4, 页码: 773-785
作者:  Yang, Hao;  Li, Yan-Chang;  Zhao, Ming-Zhi;  Wu, Fei-Lin;  Wang, Xi;  Xiao, Wei-Di;  Wang, Yi-Hao;  Zhang, Jun-Ling;  Wang, Fu-Qiang;  Xu, Feng;  Zengt, Wen-Feng;  Overall, Christopher M.;  He, Si-Min;  Chi, Hao;  Xu, Ping
收藏  |  浏览/下载：278/0  |  提交时间：2019/08/16
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks 期刊论文
NEURAL NETWORKS, 2019, 卷号: 111, 页码: 77-88
作者:  Xu, Yuanbo;  Yang, Yongjian;  Han, Jiayu;  Wang, En;  Zhuang, Fuzhen;  Yang, Jingyuan;  Xiong, Hui
收藏  |  浏览/下载：258/0  |  提交时间：2019/04/03
Opinion bias  Recommender systems  Convolutional neural network  Dual attention vectors  
DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins 期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 页码: 10
作者:  Fu, Hongli;  Yang, Yingxi;  Wang, Xiaobo;  Wang, Hui;  Xu, Yan
收藏  |  浏览/下载：108/0  |  提交时间：2019/04/03
Ubiquitination  Deep learning  Convolutional neural networks  
A deep learning method to more accurately recall known lysine acetylation sites 期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 页码: 11
作者:  Wu, Meiqi;  Yang, Yingxi;  Wang, Hui;  Xu, Yan
收藏  |  浏览/下载：75/0  |  提交时间：2019/04/03
Lysine acetylation  PTMs  Deep learning  
Lysine Malonylation Identification in E-coli with Multiple Features 期刊论文
CURRENT PROTEOMICS, 2019, 卷号: 16, 期号: 3, 页码: 166-174
作者:  Xu, Yan;  Yang, Yingxi;  Wang, Hui;  Shao, Yuanhai
收藏  |  浏览/下载：66/0  |  提交时间：2019/04/03
Malonylation  support vector machine  post translational modification  E. coli  Receive Operating Character (ROC)  Prokaryotes