Reference-Based Cell Type Deconvolution Using Self-Supervised Contrastive Learning in Spatial Transcriptomics with Ctdecon

It is important to analyze the cell types in the spatial domain at the single cell resolution, especially in spatial transcriptomics. It is also key to present the cell types distributed in the spatial domain. Here, we introduce ctdecon, a module constructed by neural network algorithm, which can so... View More