A Graph Convolutional Network for Spatial Transcriptomics Modelling
A spatially informed GCN tailored for spatial transcriptomics data. Incorporating expression information from neighboring cells is an open problem and we attempt to leverage deep graph convolutional networks to maximize response expression likelihoods.
Sep 30, 2023
