The following publications are possibly variants of this publication:
- Graph contextualized attention network for predicting synthetic lethality in human cancersYahui Long, Min Wu 0008, Yong Liu, Jie Zheng, Chee-Keong Kwoh 0001, Jiawei Luo, Xiaoli Li 0001. bioinformatics, 37(16):2432-2440, 2021. [doi]
- Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural NetworkMincai Lai, Guangyao Chen, Haochen Yang, Jingkang Yang, Zhihao Jiang, Min Wu, Jie Zheng. embc 2021: 1731-1734 [doi]
- KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancersShike Wang, Fan Xu, Yunyang Li, Jie Wang, Ke Zhang, Yong Liu, Min Wu 0008, Jie Zheng 0002. bioinformatics, 37(Supplement):418-425, 2021. [doi]
- MAGCN: A Multiple Attention Graph Convolution Networks for Predicting Synthetic LethalityXinguo Lu, Guanyuan Chen, Jinxin Li, Xiangjin Hu, Fengxu Sun. tcbb, 20(5):2681-2689, September - October 2023. [doi]
- Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorizationJiang Huang, Min Wu 0008, Fan Lu, Le Ou-Yang, Zexuan Zhu. bmcbi, 20-S(19):657, 2019. [doi]
- 2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix FactorizationYong Liu 0020, Min Wu 0008, Chenghao Liu, Xiaoli Li 0001, Jie Zheng 0002. tcbb, 17(3):748-757, 2020. [doi]
- Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-EncoderZhifeng Hao, Di Wu, Yuan Fang 0001, Min Wu 0008, Ruichu Cai, Xiaoli Li 0001. titb, 25(10):4041-4051, 2021. [doi]