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Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 4, 页码: 4119-4128
Authors:  Sun, Hao;  Madonski, Rafal;  Li, Shihua;  Zhang, Ya;  Xue, Wenchao
Favorite  |  View/Download:22/0  |  Submit date:2022/04/02
Observers  Noise measurement  Steady-state  Kalman filters  Tuning  Measurement uncertainty  Estimation error  Composite control  disturbance rejection  extended state observer (ESO)  Kalman filter (KF)  sensor noise  
Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder 期刊论文
NATURE COMMUNICATIONS, 2022, 卷号: 13, 期号: 1, 页码: 12
Authors:  Dong, Kangning;  Zhang, Shihua
Favorite  |  View/Download:1/0  |  Submit date:2022/06/21
Disease category-specific annotation of variants using an ensemble learning framework 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23, 期号: 1, 页码: 15
Authors:  Cao, Zhen;  Huang, Yanting;  Duan, Ran;  Jin, Peng;  Qin, Zhaohui S.;  Zhang, Shihua
Favorite  |  View/Download:2/0  |  Submit date:2022/06/21
complex disease  disease category  functional annotation  non-coding variant  ensemble learning  
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022 期刊论文
NUCLEIC ACIDS RESEARCH, 2022, 卷号: 50, 期号: D1, 页码: D27-D38
Authors:  Xue, Yongbiao;  Bao, Yiming;  Zhang Zhang;  Zhao, Wenming;  Xiao, Jingfa;  He, Shun-min;  Zhang, Guoqing;  Li, Yixue;  Guoping, Zhao;  Chen, Runsheng;  Zeng, Jingyao;  Zhang, Yadong;  Shang, Yun-fei;  Mai, Jialin;  Shi, Shuo;  Lu, Mingming;  Bu, Congfan;  Zhang, Zhewen;  Du, Zhenglin;  Wang, Yinying;  Kang, Hongen;  Xu, Tianyi;  Hao, Lili;  Jia, Peilin;  Jiang, Shuai;  Qian, Qiheng;  Zhu, Tong-tong;  Shang, Yunfei;  Zong, Wenting;  Jin, Tong;  Zhang, Yuansheng;  Zou, Dong;  Zhang, Zhang;  Du, Qiang;  Feng, Changrui;  Ma, Lina;  Zhang, Sisi;  Wang, Anke;  Dong, Lili;  Wang, Yan-qing;  Liu, Wan;  Yan, Xing;  Ling, Yunchao;  Zhao, Guoping;  Zhou, Zhihua;  Kang, Wang;  Zhang, Tao;  Ma, Shuai;  Yan, Haoteng;  Liu, Zunpeng;  Ji, Zejun;  Cai, Yusheng;  Wang, Si;  Song, Moshi;  Ren, Jie;  Zhou, Qi;  Qu, Jing;  Zhang, Weiqi;  Liu, Guanghui;  Chen, Xu;  Chen, Tingting;  Sisi, Zhang;  Sun, Yanling;  Yu, Caixia;  Tang, Bixia;  Zhu, Junwei;  Zhai, Shuang;  Sun, Yubin;  Chen, Qiancheng;  Yang, Xiaoyu;  Zhang, Xin;  Sang, Zhengqi;  Wang, Yonggang;  Zhao, Yilin;  Chen, Huanxin;  Lan, Li;  Wang, Yanqing;  Ma, Yingke;  Jia, Yaokai;  Zheng, Xin-chang;  Chen, Meili;  Dong, Zou;  Zhu, Tongtong;  Ming, Chen;  Niu, Guangyi;  Pan, Rong;  Jing, Wei;  Sang, Jian;  Liu, Chang;  Xiong, Yujia;  Lili, Hao;  Zhang, Mochen;  Wang, Guoliang;  Yi, Lizhi;  Wei, Zhao;  Zong, Wenting;  Wu, Song;  Xiong, Zhuang;  Rujiao, Li;  Zheng, Gong;  Li, Rujiao;  Liu, Lin;  Li, Zhao;  Li, Qianpeng;  Wei, Jing;  Luo, Sicheng;  Wang, Jiajia;  Shi, Yirong;  Zhou, Honghong;  Zhang, Peng;  Song, Tingrui;  Li, Yanyan;  Yang, Fei;  Li, Mengwei;  Li, Zhao-hua;  Kang, Hongen;  Zheng, Xinchang;  Li, Ru-jiao;  Tian, Dongmei;  Liu, Xiaonan;  Li, Cuiping;  Teng, Xufei;  Song, Shuhui;  Zhang, Yang;  Niu, Guangyi;  Zhu, Tongtong;  Zhang, Yuansheng;  Chen, Ruru;  Zhang, Rongqin;  Xu, Feng;  Wang, Yifan;  Ling, Yunchao;  Zhou, Chenfen;  Wang, Haizhou;  Teschendorff, Andrew E.;  He, Yungang;  Zhen, Yang;  Li, Cuiping;  Zhu, Junwei;  Li, Lun;  Li, Na;  Gong, Zheng;  Chen, Meili;  Ying Cui;  Duan, Guangya;  Tong, Jin;  Wu, Gangao;  Huang, Tianhao;  Jin, Enhui;  Zhao, Wei;  Kang, Hailong;  Wang, Zhonghuang;  Zeng, Jingyao;  Chen, Hua;  Li, Mingkun;  Zhao, Wenming;  Ning, Wanshan;  Xue, Yu;  Liu, Yanhu;  Cui, Ying;  Zhou, Qijun;  Liu, Xingyan;  Zhang, Longlong;  Mao, Bingyu;  Zhang, Shihua;  Zhang, Yaping;  Wang, Guodong;  Zhu, Qianghui;  Li, Xin;  Li, Menghua;  Liu, Yuanming;  Luo, Hong;  Wu, Xiaoyuan;  Jing, Haichun;  Pan, Yitong;  Chen, Ming;  Ma, Lina;  Shi, Leisheng;  Li, Mingkun;  Lan, Li;  Bao, Yiming;  Zhao, Wen-ming;  Zuo, Zhixiang;  Ren, Jian;  Zhang, Xinxin;  Xiao, Yun;  Li, Xia;  Liu, Dan;  Zhang, Chi;  Xue, Yu;  Zhao, Zheng;  Jiang, Tao;  Wu, Wanying;  Zhao, Fangqing;  Meng, Xianwen;  Peng, Di;  Luo, Hao;  Gao, Feng;  Lin, Shaofeng;  Liu, Chuijie;  Guo, Anyuan;  Yuan, Hao;  Su, Tianhan;  Zhang, Yong E.;  Zhou, Yincong;  Zhang, Weizhi;  Fu, Shanshan;  Tan, Xiaodan;  Xie, Yubin;  Guo, Guoji;  Wang, Chenwei;  Liao, Xingyu;  Gao, Xin;  Wang, Jianxin;  Xie, Guiyan;  Yuan, Chunhui;  Tian, Feng;  Yang, Dechang;  Tang, Dachao;  Wu, Wenyi;  Gou, Yujie;  Han, Cheng;  Cui, Qinghua;  Li, Xiang Shang;  Li, Chuan-Yun;  Luo, XiaoTong;  Ren, Jia;  Li, Xia
Favorite  |  View/Download:35/0  |  Submit date:2022/04/02
Network diffusion for scalable embedding of massive single-cell ATAC-seq data 期刊论文
SCIENCE BULLETIN, 2021, 卷号: 66, 期号: 22, 页码: 2271-2276
Authors:  Dong, Kangning;  Zhang, Shihua
Favorite  |  View/Download:16/0  |  Submit date:2022/04/02
Approximate distance correlation for selecting highly interrelated genes across datasets 期刊论文
PLOS COMPUTATIONAL BIOLOGY, 2021, 卷号: 17, 期号: 11, 页码: 18
Authors:  Shen, Qunlun;  Zhang, Shihua
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Robust Bayesian matrix decomposition with mixture of Gaussian noise 期刊论文
NEUROCOMPUTING, 2021, 卷号: 449, 页码: 108-116
Authors:  Wang, Haohui;  Zhang, Chihao;  Zhang, Shihua
Favorite  |  View/Download:32/0  |  Submit date:2021/10/26
Bayesian method  Matrix decomposition  Maximum a posterior  Mixture of Gaussians  
Joint reconstruction of cis-regulatory interaction networks across multiple tissues using single-cell chromatin accessibility data 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 3, 页码: 15
Authors:  Dong, Kangning;  Zhang, Shihua
Favorite  |  View/Download:14/0  |  Submit date:2022/04/02
cis-regulatory interaction networks  single-cell ATAC-seq  Gaussian graphical LASSO  
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196
Authors:  Zhang, Chihao;  Zhang, Shihua
Favorite  |  View/Download:62/0  |  Submit date:2021/04/26
Matrix decomposition  Bayes methods  Data integration  Inference algorithms  Data models  Data mining  Gaussian distribution  Bayesian methods  matrix decomposition  data integration  variational Bayesian inference  maximum a posterior  
Towards understanding residual and dilated dense neural networks via convolutional sparse coding 期刊论文
NATIONAL SCIENCE REVIEW, 2021, 卷号: 8, 期号: 3, 页码: 13
Authors:  Zhang, Zhiyang;  Zhang, Shihua
Favorite  |  View/Download:27/0  |  Submit date:2021/10/26
convolutional neural network  convolutional sparse coding  residual neural network  mixed-scale dense neural network  dilated convolution  dense connection