Selecting single cell clustering parameter values using subsampling-based robustness metrics

BACKGROUND: Generating and analysing single-cell data has become a widespread approach to examine tissue heterogeneity, and numerous algorithms exist for clustering these datasets to identify putative cell types with shared transcriptomic signatures. However, many of these clustering workflows rely...

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Detalles Bibliográficos
Autores principales: Patterson-Cross, Ryan B., Levine, Ariel J., Menon, Vilas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852188/
https://www.ncbi.nlm.nih.gov/pubmed/33522897
http://dx.doi.org/10.1186/s12859-021-03957-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7852188/
https://www.ncbi.nlm.nih.gov/pubmed/33522897
http://dx.doi.org/10.1186/s12859-021-03957-4

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