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2020 – today
- 2024
[j8]Yanling Liu, Ruiyan Zhang, Xiaojing Dong, Hong Yang, Jing Li, Hongyan Cao, Jing Tian, Yanbo Zhang:
DAE-CFR: detecting microRNA-disease associations using deep autoencoder and combined feature representation. BMC Bioinform. 25(1): 139 (2024)- [j7]Hongyan Cao, Zhenze Chen, Haihua Hu, Xiangbing Huai, Hao Zhu, Zhongjian Li:
Yarn hairiness measurement based on multi-camera system and perspective maximization model. J. Electronic Imaging 33(4) (2024) - 2023
- [j6]Yifang Wei, Lingmei Li, Xin Zhao, Haitao Yang, Jian Sa, Hongyan Cao, Yuehua Cui
:
Cancer subtyping with heterogeneous multi-omics data via hierarchical multi-kernel learning. Briefings Bioinform. 24(1) (2023) - 2021
- [j5]Ruiling Fang, Haitao Yang, Yuzhao Gao, Hongyan Cao, Ellen L. Goode, Yuehua Cui:
Gene-based mediation analysis in epigenetic studies. Briefings Bioinform. 22(3) (2021) - [j4]Yan Liu, Yuzhao Gao, Ruiling Fang, Hongyan Cao, Jian Sa, Jianrong Wang, Hongqi Liu, Tong Wang, Yuehua Cui:
Identifying complex gene-gene interactions: a mixed kernel omnibus testing approach. Briefings Bioinform. 22(6) (2021) - [j3]Hong Yang, Xinxin Li, Hongyan Cao, Yuehua Cui, Yanhong Luo, Jinchun Liu, Yanbo Zhang:
Using machine learning methods to predict hepatic encephalopathy in cirrhotic patients with unbalanced data. Comput. Methods Programs Biomed. 211: 106420 (2021) - 2020
- [j2]Haitao Yang, Hongyan Cao, Tao He, Tong Wang, Yuehua Cui:
Multilevel heterogeneous omics data integration with kernel fusion. Briefings Bioinform. 21(1): 156-170 (2020)
2010 – 2019
- 2017
- [j1]Haitao Yang, Shaoyu Li, Hongyan Cao, Chichen Zhang, Yuehua Cui:
Predicting disease trait with genomic data: a composite kernel approach. Briefings Bioinform. 18(4): 591-601 (2017)
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