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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.
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"description": "=======================================================\nCellO: Cell Ontology-based Classification\n=======================================================\n\nCellO (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.\n\nFor instructions on installing and running CellO, see the GitHub repository: https://github.com/deweylab/CellO\n\nFor more details regarding the underlying method, see the paper:\n\nBernstein, 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.\n",
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