The following publications are possibly variants of this publication:
- 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]
- SLGNN: synthetic lethality prediction in human cancers based on factor-aware knowledge graph neural networkYan Zhu, Yuhuan Zhou, Yang Liu, Xuan Wang, Junyi Li. bioinformatics, 39(2), February 2023. [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]
- Computational methods, databases and tools for synthetic lethality predictionJing Wang, Qinglong Zhang, Junshan Han, Yanpeng Zhao, Caiyun Zhao, Bowei Yan, Chong Dai, Lianlian Wu, Yuqi Wen, Yixin Zhang, Dongjin Leng, Zhongming Wang, Xiaoxi Yang, Song He, Xiaochen Bo. bib, 23(3), 2022. [doi]
- Adversarial Dual-Channel Variational Graph Autoencoder for Synthetic Lethality Prediction in Human CancersWei Li 0184, Han Zhang, Qingqing Zhao, Jian Liu, Yanbin Yin. bibm 2021: 444-449 [doi]