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Embedding results on 1.3 million mouse brain cells dataset. (A) NeuralEE-SO with batch size as 5,000. (B) FIt-SNE. (C) UMAP. Labels represent different clusters of Louvain community detection algorithm (Blondel et al., 2008). As NeuralEE belongs to parametric methods, when applied on million-size data, it could return several outliers on the embedded space, we manually delete them to make layout tighter. The raw embedding is showed at Supplementary Figure 7.
