Cross-tissue graph attention networks for semi-supervised gene expression prediction
gemGAT demonstrates superior performance over existing methods by efficiently capturing nonlinear gene coexpressions, underscores gemGAT’s potential to significantly contribute to precision medicine, showcasing its utility in advancing the understanding of gene expression in less accessible tissues.