CellO
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. These classifiers were trained on nearly all of the human primary cell, bulk RNA-seq data in the Sequence Read Archive. The CellO Viewer enables exploration of cell type-specific expression signatures across cell types encoded within the graph-structured Cell Ontology.
Description
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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. These classifiers were trained on nearly all of the human primary cell, bulk RNA-seq data in the Sequence Read Archive. The CellO Viewer enables exploration of cell type-specific expression signatures across cell types encoded within the graph-structured Cell Ontology.
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:28:34.753500
Webpage:
https://github.com/deweylab/CellOWebpage
More detailed information about this field from each metasource.
https://github.com/deweylab/CellO
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:28:34.753500
Licence:
Name: BSD-3-ClauseLicence name
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Publications:
Publications
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CellO: comprehensive and hierarchical cell type classification of human cells with the Cell Ontology
PMID: 33364592
metasource: bio.tools
version: extracted_at: 2022-11-04T11:28:34.753500
Publications
More detailed information about this field from each metasource.
CellO: comprehensive and hierarchical cell type classification of human cells with the Cell Ontology
PMID: 33364592
metasource: bio.tools
version: extracted_at: 2022-11-04T11:28:34.753500
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CellO: comprehensive and hierarchical cell type classification of human cells with the Cell Ontology
PubMed citations: 8.
8 articles citing: CellO: comprehensive and hierarchical cell type classification of human cells with the Cell Ontology
Screening the components of Saussurea involucrata for novel targets for the treatment of NSCLC using network pharmacology. PMID:35227278
Cell type ontologies of the Human Cell Atlas. PMID:34750578
scMRMA: single cell multiresolution marker-based annotation. PMID:34648021
Bias-invariant RNA-sequencing metadata annotation. PMID:34553213
Leveraging the Cell Ontology to classify unseen cell types. PMID:34548483
Annotating cell types in human single-cell RNA-seq data with CellO. PMID:34458864
Mapping the multiscale structure of biological systems. PMID:34139169
CHARTS: a web application for characterizing and comparing tumor subpopulations in publicly available single-cell RNA-seq data sets. PMID:33622236
Tags:
Tags
More detailed information about this field from each metasource.
ontology and terminology
metasource: bio.tools
version: extracted_at: 2022-11-04T11:28:34.753500
rna-seq
metasource: bio.tools
version: extracted_at: 2022-11-04T11:28:34.753500
cell biology
metasource: bio.tools
version: extracted_at: 2022-11-04T11:28:34.753500
gene expression
metasource: bio.tools
version: extracted_at: 2022-11-04T11:28:34.753500
genotype and phenotype
metasource: bio.tools
version: extracted_at: 2022-11-04T11:28:34.753500
Tags
More detailed information about this field from each metasource.
ontology and terminology
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:28:34.753500
rna-seq
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:28:34.753500
cell biology
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:28:34.753500
gene expression
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:28:34.753500
genotype and phenotype
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:28:34.753500
ontology and terminology rna sequence cell biology gene expression genotype and phenotype
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