Hongyan Cao

According to our database, Hongyan Cao authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Early recurrence prediction model for DLBCL based on Gaussian mixture model bidirectional clustering resampling and improved deep forest.

Yanhong Luo, Mengyuan Li, Yan Zhang, Tingting Zheng, Junxia Wang, Yanbo Zhang, Hongmei Yu, Hongyan Cao, Yongao Li, Nan Dai, Aiai Zhang, Tianyi Wang, Zhiqiang Zhao, Na Yang, Xiaoyan Li

Biomed. Signal Process. Control., 2026

An integrative association analysis for complex diseases in underrepresented groups by leveraging the trans-ethnic genetic similarity.

Shuo Zhang, Jike Qi, Yuchen Jiang, Hua Lin, Xinyi Wang, Ting Wang, Hongyan Cao, Ping Zeng

Briefings Bioinform., 2026

CEDR: robust consensus cancer subtyping with multi-omics data via ensemble dimensionality reduction.

Hongyan Cao, Zhaoyang Xu, Shilong Lin, Gang Du, Tong Wang, Juping Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui

Briefings Bioinform., 2026

2025

Multi-omics data integration for enhanced cancer subtyping via interactive multi-kernel learning.

Hongyan Cao, Tong Wang, Zhaoyang Xu, Xin Zhao, Gaiqin Liu, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui

Briefings Bioinform., 2025

2024

DAE-CFR: detecting microRNA-disease associations using deep autoencoder and combined feature representation.

Yanling Liu, Ruiyan Zhang, Xiaojing Dong, Hong Yang, Jing Li, Hongyan Cao, Jing Tian, Yanbo Zhang

BMC Bioinform., December, 2024

A metagene based similarity network fusion approach for multi-omics data integration identified novel subtypes in renal cell carcinoma.

Congcong Jia, Tong Wang, Dingtong Cui, Yaxin Tian, Gaiqin Liu, Zhaoyang Xu, Yanhong Luo, Ruiling Fang, Hongmei Yu, Yanbo Zhang, Yuehua Cui, Hongyan Cao

Briefings Bioinform., November, 2024

A high-dimensional omnibus test for set-based association analysis.

Haitao Yang, Xin Wang, Zechen Zhang, Fuzhao Chen, Hongyan Cao, Lina Yan, Xia Gao, Hui Dong, Yuehua Cui

Briefings Bioinform., September, 2024

Yarn hairiness measurement based on multi-camera system and perspective maximization model.

Hongyan Cao, Zhenze Chen, Haihua Hu, Xiangbing Huai, Hao Zhu, Zhongjian Li

J. Electronic Imaging, 2024

2023

Cancer subtyping with heterogeneous multi-omics data via hierarchical multi-kernel learning.

Yifang Wei, Lingmei Li, Xin Zhao, Haitao Yang, Jian Sa, Hongyan Cao, Yuehua Cui

Briefings Bioinform., January, 2023

2021

Using machine learning methods to predict hepatic encephalopathy in cirrhotic patients with unbalanced data.

Hong Yang, Xinxin Li, Hongyan Cao, Yuehua Cui, Yanhong Luo, Jinchun Liu, Yanbo Zhang

Comput. Methods Programs Biomed., 2021

Identifying complex gene-gene interactions: a mixed kernel omnibus testing approach.

Yan Liu, Yuzhao Gao, Ruiling Fang, Hongyan Cao, Jian Sa, Jianrong Wang, Hongqi Liu, Tong Wang, Yuehua Cui

Briefings Bioinform., 2021

Gene-based mediation analysis in epigenetic studies.

Ruiling Fang, Haitao Yang, Yuzhao Gao, Hongyan Cao, Ellen L. Goode, Yuehua Cui

Briefings Bioinform., 2021

2020

Multilevel heterogeneous omics data integration with kernel fusion.

Haitao Yang, Hongyan Cao, Tao He, Tong Wang, Yuehua Cui

Briefings Bioinform., 2020

2017

Predicting disease trait with genomic data: a composite kernel approach.

Haitao Yang, Shaoyu Li, Hongyan Cao, Chichen Zhang, Yuehua Cui

Briefings Bioinform., 2017