Metadata-Version: 2.1
Name: cello-classify
Version: 2.1.1
Summary: CellO
Home-page: https://github.com/deweylab/CellO
Author: Matthew N. Bernstein
Author-email: mbernstein@morgridge.org
License: MIT License
Keywords: scRNA-seq,cell-type,cell-ontology,gene-expression,computational-biology
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
License-File: LICENSE
Requires-Dist: Cython (>=0.29.17)
Requires-Dist: quadprog (>=0.1.6)
Requires-Dist: numpy (>=1.17.1)
Requires-Dist: scikit-learn (>=0.22.2.post1)
Requires-Dist: scipy (>=1.3.1)
Requires-Dist: pandas (>=0.23.4)
Requires-Dist: dill (>=0.3.1.1)
Requires-Dist: h5py (>=2.10.0)
Requires-Dist: anndata (>=0.7.1)
Requires-Dist: matplotlib
Requires-Dist: pygraphviz

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CellO: Cell Ontology-based Classification
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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.
