Machine learning for cell type classification from single nucleus RNA sequencing data

With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), the field of cell phenotyping is now a data-driven exercise providing statistical evidence to support cell type/state categorization. However, the task of classifying cells into specific, well-defined categories with the empirical...

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Detalles Bibliográficos
Autores principales: Le, Huy, Peng, Beverly, Uy, Janelle, Carrillo, Daniel, Zhang, Yun, Aevermann, Brian D., Scheuermann, Richard H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506651/
https://www.ncbi.nlm.nih.gov/pubmed/36149937
http://dx.doi.org/10.1371/journal.pone.0275070

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506651/
https://www.ncbi.nlm.nih.gov/pubmed/36149937
http://dx.doi.org/10.1371/journal.pone.0275070

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