AutoGGN: A Gene Graph Network AutoML Tool for Multi-Omics Research
Lei Zhang, Wen Shen, Ping Li, Chi Xu, Denghui Liu, Wenjun He, Zhimeng Xu, Deyong Wang, Chenyi Zhang, Hualiang Jiang, Mingyue Zheng, Nan Qiao
AutoGGN integrates multi-omics data and molecular interaction networks using graph convolutional neural networks, achieving better performance in cancer and single-cell classification tasks.
Artificial Intelligence in the Life Sciences · Nov 22, 2021Peer-reviewedBioinformatics