Single-Cell Analysis in Python.
Project description
Scanpy – Single-Cell Analysis in Python
Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It includes preprocessing, visualization, clustering, trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.
Discuss usage on Discourse. Read the documentation. If you’d like to contribute by opening an issue or creating a pull request, please take a look at our contributing guide. If Scanpy is useful for your research, consider citing Genome Biology (2018).
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size scanpy-1.7.2-py3-none-any.whl (10.3 MB) | File type Wheel | Python version py3 | Upload date | Hashes View |
| Filename, size scanpy-1.7.2.tar.gz (10.2 MB) | File type Source | Python version None | Upload date | Hashes View |
