The following publications are possibly variants of this publication:
- 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]
- WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease AssociationsMei-Neng Wang, Zhu-Hong You, Li-ping Li, Zhan-Heng Chen, Xue-Jun Xie. icic 2020: 542-551 [doi]
- Graph Regularized Nonnegative Matrix Factorization for Data RepresentationDeng Cai, Xiaofei He, Jiawei Han, Thomas S. Huang. pami, 33(8):1548-1560, 2011. [doi]
- GNMFLMI: Graph Regularized Nonnegative Matrix Factorization for Predicting LncRNA-MiRNA InteractionsMei-Neng Wang, Zhu-Hong You, Li-ping Li, Leon Wong, Zhan-Heng Chen, Chengzhi Gan. access, 8:37578-37588, 2020. [doi]
- Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease AssociationsMei-Neng Wang, Xue-Jun Xie, Zhuhong You, Leon Wong, LiPing Li, Zhan-Heng Chen. icic 2021: 467-477 [doi]
- RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagationLi Peng, Cheng Yang, Li Huang, Xiang Chen, Xiangzheng Fu, Wei Liu. bib, 23(5), 2022. [doi]
- Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning modelHaodong Wang, Han Sun, Yue Wang, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen. bibm 2022: 840-843 [doi]