Toward mastering the cell language by learning to generate
Yixin Chen, Haiyang Bian, Lei Wei, Jinmeng Jia, Xiaomin Dong, Yuzhuo Li, Yubo Zhao, Xinze Wu, Chen Li, Erpai Luo, Chuxi Xiao, Minsheng Hao, Xuegong Zhang
The paper introduces scMulan, a large AI model trained to generate cell transcriptomics data with specific attributes, showing it can generate pseudo data, predict missing attributes, and identify driving regulators.
bioRxiv · Jan 25, 2024 · PreprintBioinformatics