Fig. 2: Stereopy designs a flexible multi-sample data analysis framework and accelerates multi-sample analysis. | Nature Communications

Fig. 2: Stereopy designs a flexible multi-sample data analysis framework and accelerates multi-sample analysis.

From: Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics

Fig. 2

a Stereopy introduces MsData container, b MSS controller, and c multi-sample analysis transformer to support scalable analysis of multi-sample SRT data. MS: Multi-sample, MSS: Multi-sample scope. d Steroepy provides the option of multi-sample parallel or integrative processing and e joint multi-sample processing for comparative, temporal, and 3D integrative studies. f Stereopy facilitates the restoration and processing of gene expression, spatial information, and corresponding image features for each sample in spatial omics analysis. g Comparison of the execution time of Stereopy, Seurat, Giotto, and Scanpy in basic processes, including preprocessing, PCA, finding neighbors, UMAP, Leiden clustering, Louvain clustering, and finding marker genes. h Comparison of the execution time of basic processes, including finding neighbors, UMAP, Leiden clustering, and Louvain clustering with or without GPU mode. Source data are provided as a Source Data file.

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