no code implementations • 12 Oct 2023 • 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, Xiao Zhang, Hui Shen, Weihua Zhou, Hong-Wen Deng
By learning the latent representations of both omics data, our method can effectively impute missing metabolomics values based on genomic information.
no code implementations • 3 Oct 2022 • Chen Zhao, Joyce H Keyak, Xuewei Cao, Qiuying Sha, Li Wu, Zhe Luo, LanJuan Zhao, Qing Tian, Chuan Qiu, Ray Su, Hui Shen, Hong-Wen Deng, Weihua Zhou
The aim of this paper is to design a deep learning-based model to predict proximal femoral strength using multi-view information fusion.
no code implementations • 29 Apr 2020 • Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng
In this paper, we propose a novel generalized kernel machine approach to identify higher-order composite effects in multi-view biomedical datasets.