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Dataset Card for PillarCorpus-single-cell

Dataset Details

Dataset Description

PillarCorpus includes over 90M single-cell RNA sequencing (scRNA-seq) profiles spanning human and mouse samples. This dataset covers multiple disease conditions and tissue types from various publicly available sources.

Uses

The dataset has contains the following columns:

  • gene_ids:

    • Stored as list of integer codes that reference an internal vocabulary mapping to gene names or identifiers.

    • Typically follows standard nomenclature (e.g., HGNC for human genes, MGI for mouse genes).

    • Enables consistent and memory-efficient representation across the dataset.

  • gene_values

    • Refer to the gene expression counts, this is raw count integer corresponding to each gene in gene_ids.
  • tissue:

    • Encoded as indices that map to a vocabulary of tissue types.
  • cell_type:

    • Represented by numeric codes that refer to descriptive categories in the vocabulary.
    • Categories include types like T cells and B cells etc.
  • assay:

    • Uses integer indices to point to assay names or experimental techniques in the vocabulary.

Dataset Creation

Source Data

The dataset originates from numerous research labs depositing their scRNA-seq studies in repositories such as Cellxgene. We extracted the metadata labels, such as sequencing assay types, from the data description.