The following publications are possibly variants of this publication:
- Predicting human microbe-disease associations via graph attention networks with inductive matrix completionYahui Long, Jiawei Luo, Yu Zhang, Yan Xia. bib, 22(3), 2021. [doi]
- BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completionJianyu Shi, Hua Huang, Yan-ning Zhang, Jiang-Bo Cao, Siu-Ming Yiu. bmcbi, 19(9):169-176, 2018. [doi]
- Generative Adversarial Matrix Completion Network based on Multi-Source Data Fusion for miRNA-Disease Associations PredictionShudong Wang, YunYin Li, Yuanyuan Zhang, Shanchen Pang, Sibo Qiao, Yu Zhang, Fuyu Wang. bib, 24(5), September 2023. [doi]
- Prediction of Microbe-Disease Associations by Graph Regularized Non-Negative Matrix FactorizationYue Liu, Shu-Lin Wang, Jun-Feng Zhang. jcb, 25(12):1385-1394, 2018. [doi]
- An analysis of human microbe-disease associationsWei Ma, Lu Zhang, Pan Zeng, Chuanbo Huang, Jianwei Li, Bin Geng, Jichun Yang, Wei Kong, Xuezhong Zhou, Qinghua Cui. bib, 18(1):85-97, 2017. [doi]
- MCHMDA: Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix CompletionCheng Yan, Guihua Duan, Fang-Xiang Wu, Yi Pan 0001, Jianxin Wang 0001. tcbb, 18(2):611-620, 2021. [doi]