Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes. - Hongying Jiang; Youping Deng; Huann-Sheng Chen; Lin Tao; Qiuying Sha; Jun Chen; Chung-Jui Tsai; Shuanglin Zhang (BMC Bioinform., 2004)

A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS. - Qiuying Sha; Zhenchuan Wang; Xiao Zhang; Shuanglin Zhang (Bioinform., 2019)

Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength. - Chen Zhao; Joyce H. Keyak; Xuewei Cao; Qiuying Sha; Li Wu; Zhe Luo; Lanjuan Zhao; Qing Tian 004; Chuan Qiu; Ray Su; Hui Shen 007; Hong-Wen Deng; et al. (CoRR, 2022)

Hip Fracture Prediction using the First Principal Component Derived from FEA-Computed Fracture Loads. - Xuewei Cao; Joyce H. Keyak; Sigurdur Sigurdsson; Chen Zhao; Weihua Zhou; Anqi Liu; Thomas Lang; Hong-Wen Deng; Vilmundur Gudnason; Qiuying Sha (CoRR, 2022)

CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. - Chen Zhao; Anqi Liu; Xiao Zhang; Xuewei Cao; Zhengming Ding; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (CoRR, 2023)

A new method using deep learning to predict the response to cardiac resynchronization therapy. - Kristoffer Larsen; Zhuo He; Chen Zhao; Xinwei Zhang; Qiuying Sha; Cláudio Tinoco Mesquita; Diana Paez; Ernest V. Garciaf; Jiangang Zou; Amalia Peix; Weihua Zhou (CoRR, 2023)

A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification. - Kristoffer Larsen; Chen Zhao; Joyce H. Keyak; Qiuying Sha; Diana Paez; Xinwei Zhang; Jiangang Zou; Amalia Peix; Weihua Zhou (CoRR, 2023)

Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics. - Chen Zhao; Kuan-Jui Su; Chong Wu; Xuewei Cao; Qiuying Sha; Wu Li; Zhe Luo; Tian Qin; Chuan Qiu; Lan Juan Zhao; Anqi Liu; Lindong Jiang; et al. (CoRR, 2023)

Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies using multi-layer network. - Hongjing Xie; Xuewei Cao; Shuanglin Zhang; Qiuying Sha (Bioinform., 2023)

Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data. - Chen Zhao; Kuan-Jui Su; Chong Wu; Xuewei Cao; Qiuying Sha; Wu Li; Zhe Luo; Qing Tian 004; Chuan Qiu; Lan Juan Zhao; Anqi Liu; Lindong Jiang; et al. (Comput. Biol. Medicine, 2024)

A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture. - Anjum Shaik; Kristoffer Larsen; Nancy E. Lane; Chen Zhao; Kuan-Jui Su; Joyce H. Keyak; Qing Tian 004; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (CoRR, 2024)

CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. - Chen Zhao; Anqi Liu; Xiao Zhang; Xuewei Cao; Zhengming Ding; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (Comput. Biol. Medicine, 2024)

A novel phenotype imputation method with copula model. - Jianjun Zhang; Jane Zizhen Zhao; Samantha Gonzales; Xuexia Wang; Qiuying Sha (BMC Bioinform., 2024)

ICGM-FRAX: Iterative Cross Graph Matching for Hip Fracture Risk Assessment using Dual-energy X-ray Absorptiometry Images. - Chen Zhao; Anjum Shaik; Joyce H. Keyak; Nancy E. Lane; Jeffrey D. Deng; Kuan-Jui Su; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (CoRR, 2025)