AddaGCN: Spatial transcriptomics deconvolution using graph convolutional networks with adversarial discriminative domain adaptation
Comprehensive analyses of real data generated by diverse technology platforms demonstrate AddaGCN’s superior performance and robustness in cell-type deconvolution compared to other methods and reveal AddaGCN’s potential to uncover spatiotemporal changes during tissue development and to characterize the tumor microenvir...