The following publications are possibly variants of this publication:
- From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein InteractionsFiona Browne, Huiru Zheng, Haiying Wang, Francisco Azuaje. advai, 2010, 2010. [doi]
- Benchmarking of computational methods for predicting circRNA-disease associationsWei Lan, Yi Dong, Hongyu Zhang, Chunling Li, Qingfeng Chen, Jin Liu 0012, Jianxin Wang 0001, Yi-Ping Phoebe Chen. bib, 24(1), January 2023. [doi]
- Double matrix completion for circRNA-disease association predictionZong-Lan Zuo, Rui-Fen Cao, Pi-Jing Wei, Jun-Feng Xia, Chun-Hou Zheng 0001. bmcbi, 22(1):307, 2021. [doi]
- Potential circRNA-disease association prediction using DeepWalk and network consistency projectionGuanghui Li 0003, Jiawei Luo, DianCheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen. jbi, 112:103624, 2020. [doi]
- CircRNA-Disease Association Prediction based on Heterogeneous Graph RepresentationXinmeng Liu, Yuhe Zhang, Yewei Shen, Xuequn Shang, Yongtian Wang. bibm 2022: 2411-2417 [doi]
- CircRNA-disease associations prediction based on metapath2vec++ and matrix factorizationYuchen Zhang 0003, Xiujuan Lei, Zengqiang Fang, Yi Pan 0001. bigdatama, 3(4):280-291, 2020. [doi]
- Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix FactorizationLi-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-hao Liu, Chun-Hou Zheng 0001, Yu-Tian Wang. tcbb, 20(5):3154-3162, September - October 2023. [doi]
- Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease AssociationsChengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li 0007, Jianxin Wang 0001. titb, 25(3):891-899, 2021. [doi]