Zixin Shu

According to our database, Zixin Shu authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

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, Jian Yu, Xuezhong Zhou

BMC Medical Informatics Decis. Mak., December, 2024

Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models.

Rui Hua, Xin Dong, Yu Wei, Zixin Shu, Pengcheng Yang, Yunhui Hu, Shuiping Zhou, He Sun, Kaijing Yan, Xijun Yan, Kai Chang, Xiaodong Li, Yuning Bai, Runshun Zhang, Wenjia Wang, Xuezhong Zhou

J. Am. Medical Informatics Assoc., 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, Jia Ke, Jingjing Huang, Rui Su, Jianan Xia, Xuezhong Zhou

Int. J. Medical Informatics, 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, Qi Hao, Wen Ye, Cheng Luo, Xinyan Wang, Chuang Cheng, Xiaodong Li, Baoyan Liu, Xiaji Zhou, Runshun Zhang, Min Xu, Xuezhong Zhou

CoRR, 2024

KDGene: knowledge graph completion for disease gene prediction using interactional tensor decomposition.

Xinyan Wang, Kuo Yang, Ting Jia, Fanghui Gu, Chongyu Wang, Kuan Xu, Zixin Shu, Jianan Xia, Qiang Zhu, Xuezhong Zhou

Briefings Bioinform., 2024

2023

Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction.

Xinyan Wang, Ting Jia, Chongyu Wang, Kuan Xu, Zixin Shu, Kuo Yang, Xuezhong Zhou

CoRR, 2023

2022

PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features.

Kuo Yang, Yi Zheng, Kezhi Lu, Kai Chang, Ning Wang, Zixin Shu, Jian Yu, Baoyan Liu, Zhuye Gao, Xuezhong Zhou

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

TCMPR: TCM Prescription recommendation based on subnetwork term mapping and deep learning.

Xin Dong, Yi Zheng, Zixin Shu, Kai Chang, Dengying Yan, Jianan Xia, Qiang Zhu, Kunyu Zhong, Xinyan Wang, Kuo Yang, Xuezhong Zhou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

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

Network-based gene prediction for TCM symptoms.

Yinyan Wang, Kuo Yang, Zixin Shu, Dengying Yan, Xuezhong Zhou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction.

Kuo Yang, Ruyu Wang, Guangming Liu, Zixin Shu, Ning Wang, Runshun Zhang, Jian Yu, Jianxin Chen, Xiaodong Li, Xuezhong Zhou

IEEE J. Biomed. Health Informatics, 2019

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, Xuezhong Zhou

Comput. Methods Programs Biomed., 2019