Pan-Cancer Single Cell Panorama of Human Natural Killer Cells

Processed single-cell RNA sequencing data underpinning a pan-cancer analysis of human natural killer cells. The dataset includes expression matrices and cell annotations from multiple tissues, supporting the findings of a research paper from Peking University. Files contain processed data, raw counts, and UMAP coordinates for integrated cell populations.

Use Cases

• Classifying natural killer cell subtypes based on annotated 'cellType' labels
• Analyzing tissue-specific gene expression patterns using the 'meta_tissue_in_paper' and 'meta_tissue' annotations
• Visualizing cell population structure using the provided UMAP coordinates
• Comparing processed expression data to raw count data for methodological validation

Strengths

• Data is directly linked to a published research paper, providing context and validation
• Includes both processed expression data and raw count data for the same cells
• Contains annotations for cell type and tissue of origin, which are key for analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Last update date is unknown; freshness unverified

Provenance

Source

Fei Tang, Peking University, via paperswithcode

Collection Method

Likely generated from single-cell RNA sequencing experiments across multiple cancer types.