This repository provides an API to fetch and analyze cell atlas data on various human diseases. For the time being, the API uses data from Cellxgene Census. Single cell omic data is compressed into h5 files using scquill.
NOTE
Compared to Cellxgene itself, this API is designed to be much faster and closer to typical biomedical questions.
Currently implemented:
- Analyze differential cell type abundance.
- Analyze differential gene expression for all cell types or specific cell types.
- Fetch metadata related to diseases.
At the moment, the preferred way to access this API is through our Python package atlasapprox-disease:
pip install atlasapprox-diseases
For detailed examples and tutorials, please check the tutorials
folder.