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The overview of GraphSCI algorithm
The input of GraphSCI framework is a gene expression matrix from scRNA-seq, and we construct the gene graph from the raw expression data through PCC. And GraphSCI combines the graph convolution network and autoencoder neural network to impute the dropout events in data. Finally, Extensive downstream analysis experiments demonstrated the effective and robustness of GraphSCI.
