Processed HLCA: Human Lung Cell Atlas in AnnData Format

The Processed HLCA Dataset is a 2.9 GB processed version of the Human Lung Cell Atlas in AnnData format, uploaded by Eljas Roellin. It originates from the flagship paper published in Nature Medicine in 2023. The dataset was last updated on figshare in May 2026.

Use Cases

• Train machine learning models for cell type classification based on processed single-cell expression profiles.
• Perform integrative analysis of lung cell states across health and disease conditions.
• Benchmark new computational methods for single-cell data analysis using a standardized, processed atlas.

Strengths

• The dataset is 2.9 GB, indicating a substantial volume of processed biological data.
• It is directly linked to a peer-reviewed flagship paper published in Nature Medicine in 2023.
• The data is provided in the AnnData format, a standard for single-cell analysis in Python.

Limitations

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

Provenance

Source

Sikkema, L., Ramírez-Suástegui, C., Strobl, D. C., et al. & Theis, F. J. (2023). An integrated cell atlas of the lung in health and disease. Nature medicine, 29(6), 1563-1577.

Freshness

Last updated 2026-05-05 07:09:12; freshness should be verified.