Processed Tumor Immune Cell Atlas in AnnData Format

A single-cell tumor immune atlas for precision oncology, processed into an AnnData format. The dataset is 475.4 MB in size and was authored by Eljas Roellin. The original flagship paper was published in Genome Research in 2021.

Use Cases

• Analyze immune cell composition within tumors based on single-cell RNA sequencing data.
• Identify cell-type-specific gene expression signatures for precision oncology applications.
• Benchmark computational tools for processing and analyzing single-cell data in the AnnData format.

Strengths

• Dataset is 475.4 MB, indicating a substantial processed single-cell dataset.
• Associated with a peer-reviewed flagship paper published in Genome Research in 2021.
• Available under a permissive CC-BY-4.0 license.

Limitations

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

Provenance

Source

Original research by Nieto, P., Elosua-Bayes, M., et al. (2021).

Collection Method

Processed from single-cell RNA sequencing data, likely from tumor samples.

Freshness

Last updated 2026-05-05 07:14:28; freshness should be verified.