Symptom-based network classification identifies distinct clinical subgroups of liver diseases with common molecular pathways. - Zixin Shu; Wenwen Liu; Huikun Wu; Mingzhong Xiao; Deng Wu; Ting Cao; Meng Ren; Junxiu Tao; Chuhua Zhang; Tangqing He; Xiaodong Li; Runshun Zhang; et al. (Comput. Methods Programs Biomed., 2019)

HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction. - Kuo Yang; Ruyu Wang; Guangming Liu; Zixin Shu; Ning Wang 048; Runshun Zhang; Jian Yu 001; Jianxin Chen; Xiaodong Li; Xuezhong Zhou (IEEE J. Biomed. Health Informatics, 2019)

Network-based gene prediction for TCM symptoms. - Yinyan Wang; Kuo Yang; Zixin Shu; Dengying Yan; Xuezhong Zhou (BIBM, 2020)

Integrated network analysis of symptom clusters across disease conditions. - Kezhi Lu; Kuo Yang; Edouard Niyongabo; Zixin Shu; Jingjing Wang; Kai Chang; Qunsheng Zou; Jiyue Jiang; Caiyan Jia; Baoyan Liu; Xuezhong Zhou (J. Biomed. Informatics, 2020)

TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning. - Xin Dong 017; Yi Zheng; Zixin Shu; Kai Chang; Dengying Yan; Jianan Xia; Qiang Zhu; Kunyu Zhong; Xinyan Wang 002; Kuo Yang; Xuezhong Zhou (BIBM, 2021)

RESurv: A Deep Survival Analysis Model to Reveal Population Heterogeneity by Individual Risk. - Qiguang Zheng; Qifan Shen; Xin Su; Kuo Yang; Zixin Shu; Xuezhong Zhou (BIBM, 2022)

PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features. - Kuo Yang; Yi Zheng; Kezhi Lu; Kai Chang; Ning Wang 048; Zixin Shu; Jian Yu 001; Baoyan Liu; Zhuye Gao; Xuezhong Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction. - Xinyan Wang 002; Ting Jia; Chongyu Wang; Kuan Xu; Zixin Shu; Kuo Yang; Xuezhong Zhou (CoRR, 2023)

KDGene: knowledge graph completion for disease gene prediction using interactional tensor decomposition. - Xinyan Wang 002; Kuo Yang; Ting Jia; Fanghui Gu; Chongyu Wang; Kuan Xu; Zixin Shu; Jianan Xia; Qiang Zhu; Xuezhong Zhou (Briefings Bioinform., 2024)

ISPO: An Integrated Ontology of Symptom Phenotypes for Semantic Integration of Traditional Chinese Medical Data. - Zixin Shu; Rui Hua; Dengying Yan; Chenxia Lu; Ning Xu; Jun Li; Hui Zhu; Jia Zhang; Dan Zhao; Chenyang Hui; Junqiu Ye; Chu Liao; et al. (CoRR, 2024)

Deep representation learning from electronic medical records identifies distinct symptom based subtypes and progression patterns for COVID-19 prognosis. - Qiguang Zheng; Qifan Shen; Zixin Shu; Kai Chang; Kunyu Zhong; Yuhang Yan 004; Jia Ke; Jingjing Huang; Rui Su; Jianan Xia; Xuezhong Zhou (Int. J. Medical Informatics, 2024)

Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models. - Rui Hua; Xin Dong 016; Yu Wei; Zixin Shu; Pengcheng Yang; Yunhui Hu; Shuiping Zhou; He Sun; Kaijing Yan; Xijun Yan; Kai Chang; Xiaodong Li; et al. (J. Am. Medical Informatics Assoc., 2024)

DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction. - Haoyu Tian; Xiong He; Kuo Yang; Xinyu Dai; Yiming Liu; Fengjin Zhang; Zixin Shu; Qiguang Zheng; Shihua Wang; Jianan Xia; Tiancai Wen; Baoyan Liu; et al. (BMC Medical Informatics Decis. Mak., 2024)