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...

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Detalles Bibliográficos
Autores principales: Kim, HanByeol, Lee, Joongho, Kang, Keunsoo, Yoon, Seokhyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
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

Internet

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

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