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 the scverse 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.
Source Distribution
Built Distribution
File details
Details for the file scanpy-1.9.5.tar.gz.
File metadata
- Download URL: scanpy-1.9.5.tar.gz
- Upload date:
- Size: 2.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1d90f95cd5e103c9e0cc41fd84c1f2d81d86d6337cbe294316578ed071d39d82 |
|
| MD5 | d356a4882d247c99f35d4fc9bd7d52a3 |
|
| BLAKE2b-256 | 315d829cce87aebb2da8988069e8181288a2debc57f5aa906591f550fb872dc7 |
File details
Details for the file scanpy-1.9.5-py3-none-any.whl.
File metadata
- Download URL: scanpy-1.9.5-py3-none-any.whl
- Upload date:
- Size: 2.0 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0795625d5aaf4b2e88b5328cf8cbefe2f5ebc26d45de44acf49ad9763382a301 |
|
| MD5 | cf9f96b468ba2406b23091e46861ddce |
|
| BLAKE2b-256 | bec7414c92e855ac07f6cd3c04e289688c8e2cc420d0fb60446c4af5386aa9c1 |
