Although technologies enable large-scale profiling of chromatin accessibility at the single-cell level, there are methodological challenges due to high dimensionality and high sparsity of data. Liu and colleagues describe a computational tool for the simultaneous determination of latent representation and clustering of cells from single-cell ATAC-seq data using a pair of generative adversarial networks.
- Qiao Liu
- Shengquan Chen
- Wing Hung Wong
