Differential analysis of binarized single-cell RNA sequencing data captures biological variation

Single-cell RNA sequencing data is characterized by a large number of zero counts, yet there is growing evidence that these zeros reflect biological variation rather than technical artifacts. We propose to use binarized expression profiles to identify the effects of biological variation in single-ce...

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Detalles Bibliográficos
Autores principales: Bouland, Gerard A, Mahfouz, Ahmed, Reinders, Marcel J T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693570/
https://www.ncbi.nlm.nih.gov/pubmed/34988441
http://dx.doi.org/10.1093/nargab/lqab118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693570/
https://www.ncbi.nlm.nih.gov/pubmed/34988441
http://dx.doi.org/10.1093/nargab/lqab118

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