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MarkerCount: A stable, count-based cell type identifier for single-cell RNA-seq experiments
Cell type identification is a key step toward downstream analysis of single cell RNA-seq experiments. Although the primary objective is to identify known cell populations, good identifiers should also recognize unknown clusters which may represent a previously unidentified subpopulation of a known c...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233224/ https://www.ncbi.nlm.nih.gov/pubmed/35782735 http://dx.doi.org/10.1016/j.csbj.2022.06.010 |