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scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data
BACKGROUND: Automatic cell type identification is essential to alleviate a key bottleneck in scRNA-seq data analysis. While most existing classification tools show good sensitivity and specificity, they often fail to adequately not-classify cells that are missing in the used reference. Additionally,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762856/ https://www.ncbi.nlm.nih.gov/pubmed/35038984 http://dx.doi.org/10.1186/s12859-022-04574-5 |