code: def pbmc68k_reduced() -> AnnData:
      
  
      filename = os.path.dirname(__file__) + '/10x_pbmc68k_reduced.h5ad'
      return sc.read(filename)
docs: Subsampled and processed 68k PBMCs.
  
      10x PBMC 68k dataset from
      https://support.10xgenomics.com/single-cell-gene-expression/datasets
  
      The original PBMC 68k dataset was preprocessed using scanpy and was saved
      keeping only 724 cells and 221 highly variable genes.
  
      The saved file contains the annotation of cell types (key: 'bulk_labels'), UMAP coordinates,
      louvain clustering and gene rankings based on the bulk_labels.
  
      Returns
      -------
      Annotated data matrix.