scGraph2Vec: a deep generative model for gene embedding augmented by graph neural network and single-cell omics data.

This proportion, although only marginally significant ( P = 0.067, hypergeometric test; Fig. 5B ), indicated that the gene embeddings indeed could be used to identify more disease-associated genes.

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