CellO
Project description
CellO (Cell Ontology-based classification) is a Python package for performing cell type classification of human RNA-seq data. CellO makes hierarchical predictions against the Cell Ontology (http://www.obofoundry.org/ontology/cl.html). These classifiers were trained on nearly all of the human primary cell, bulk RNA-seq data in the NCBI’s Sequence Read Archive.
For instructions on installing and running CellO, see the GitHub repository: https://github.com/deweylab/CellO
For more details regarding the underlying method, see the paper:
Bernstein, M.N., Ma, J., Gleicher, M., Dewey, C.N. (2020). CellO: Comprehensive and hierarchical cell type classification of human cells with the Cell Ontology. iScience, 24(1), 101913. https://doi.org/10.1016/j.isci.2020.101913.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file cello_classify-2.0.3-py3-none-any.whl.
File metadata
- Download URL: cello_classify-2.0.3-py3-none-any.whl
- Upload date:
- Size: 11.2 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0474fed320f364c6e0f64a7be1d2f02a06accbd8cb4124c728b86570e6063ef1 |
|
| MD5 | 5e68b9ee8701177161eb5bfbac0cdf5d |
|
| BLAKE2b-256 | c654fd67f6459e62a8ceedc1718bb83e6c38f259013dcf5640f4742a39359efa |
