Acinar Cell Carcinoma Spatial Transcriptomics Data for scDesign3

Kris Sankaran provides spatial transcriptomics data for Acinar Cell Carcinoma, processed into the scanpy H5AD format. The 46.8 MB dataset was last updated on May 10, 2026, and is shared under a CC-BY-4.0 license on figshare. It was used in the evaluation of the scDesign3 package.

Use Cases

• Benchmarking spatial transcriptomics analysis pipelines based on the processed H5AD format.
• Developing new statistical models for spatial gene expression based on data from a specific cancer type.
• Training machine learning models for cell type or region identification based on spatial transcriptomics features.
• Evaluating data simulation tools like scDesign3 based on real spatial transcriptomics data.

Strengths

• Data is processed into the standard scanpy H5AD format, facilitating immediate use with popular Python-based analysis tools.
• Dataset size is 46.8 MB, indicating a manageable download and memory footprint.
• License is clearly stated as CC-BY-4.0, allowing for flexible reuse with attribution.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment for large-scale training tasks.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Spatial transcriptomics data processed into scanpy H5AD format.

Freshness

Last updated 2026-05-10 20:12:57; freshness should be verified.