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. 2023 May 29;51(13):6578–6592. doi: 10.1093/nar/gkad450

Figure 1.

Figure 1.

The pipeline contains seven steps: (1) construction of WT scGRN, (2) training VGAE model, (3) transfer the trained VGAE model, (4) construction of virtual KO data, (5) latent embeddings of WT and virtual KO data, (6) calculation of KL divergence, and (7) identification of KO-responsive genes for function annotation and analysis.

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