devCellPy -- hierarchical multilayered classification of cells based on scRNA-seq
Project description
devCellPy is a Python package designed for hierarchical multilayered classification of cells based on single-cell RNA-sequencing (scRNA-seq). It implements the machine learning algorithm Extreme Gradient Boost (XGBoost) (Chen and Guestrin, 2016) to automatically predict cell identities across complex permutations of layers and sublayers of annotation.
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
devCellPy-1.2.0.tar.gz
(16.6 kB
view details)
Built Distribution
devCellPy-1.2.0-py3-none-any.whl
(19.0 kB
view details)
File details
Details for the file devCellPy-1.2.0.tar.gz.
File metadata
- Download URL: devCellPy-1.2.0.tar.gz
- Upload date:
- Size: 16.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 476f7220990c39a6f71ca76bf4dbaabb051a1007553d559d2bd70a3999323bdc |
|
| MD5 | 11e8997b3cb9de967921a409b0f402de |
|
| BLAKE2b-256 | e8ec7e4eee5e9a9b77ac3b5154c791359f648ca3b9552cb57b6f57257c06f5c3 |
File details
Details for the file devCellPy-1.2.0-py3-none-any.whl.
File metadata
- Download URL: devCellPy-1.2.0-py3-none-any.whl
- Upload date:
- Size: 19.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ff42d441dbea51dde7411c182f856bdc4921ef56ddc44096e802f65206afbb4a |
|
| MD5 | dd85823922e5d8114e8591a453b38ac7 |
|
| BLAKE2b-256 | b4f60f52b440f2f172353ba4b53b2ba8ebe3d36ae2f1b96ff9def1e6491a8f58 |
