Yuehua Cui

According to our database, Yuehua Cui authored at least 17 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

2022

Gene set analysis with graph-embedded kernel association test.

Jialin Qu, Yuehua Cui

Bioinform., 2022

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

Comparison of methods for the detection of outliers and associated biomarkers in mislabeled omics data.

Hongwei Sun, Yuehua Cui, Hui Wang, Haixia Liu, Tong Wang

BMC Bioinform., 2020

Multilevel heterogeneous omics data integration with kernel fusion.

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

Briefings Bioinform., 2020

A Novel Quality Enhanced Low Complexity Rate Control Algorithm for HEVC.

Fei Zhao, ChungWen Ku, Guoqing Xiang, Huizhu Jia, Yuehua Cui, Yuan Li, Xiaodong Xie

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

2018

Segmentation-Guided Tracking with Prior Map Decision.

Ding Ma, Wei Bu, Yuying Xie, Yuehua Cui, Xiangqian Wu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Learning Collaborative Model for Visual Tracking.

Ding Ma, Wei Bu, Yuehua Cui, Yuying Xie, Xiangqian Wu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

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

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

Briefings Bioinform., 2017

2015

Learning directed acyclic graphical structures with genetical genomics data.

Bin Gao, Yuehua Cui

Bioinform., 2015

2014

A new set-valued system identification approach to identifying rare genetic variants for ordered categorical phenotype.

Wenjian Bi, Guolian Kang, Yuehua Cui, Yun Li, Christine Hartford, Wing Leung, Ji-Feng Zhang

BMC Bioinform., 2014

Boosting signals in gene-based association studies via efficient SNP selection.

Cen Wu, Yuehua Cui

Briefings Bioinform., 2014

2012

Bayesian inference for genomic imprinting underlying developmental characteristics.

Runqing Yang, Xin Wang, Yuehua Cui

Briefings Bioinform., 2012

2011

Varying coefficient model for gene-environment interaction: a non-linear look.

Shujie Ma, Lijian Yang, Roberto Romero, Yuehua Cui

Bioinform., 2011

2005

Mapping genome-genome epistasis: a high-dimensional model.

Yuehua Cui, Rongling Wu

Bioinform., 2005