scShapes: a statistical framework for identifying distribution shapes in single-cell RNA-sequencing data

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) methods have been advantageous for quantifying cell-to-cell variation by profiling the transcriptomes of individual cells. For scRNA-seq data, variability in gene expression reflects the degree of variation in gene expression from one cell to anothe...

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Detalles Bibliográficos
Autores principales: Dharmaratne, Malindrie, Kulkarni, Ameya S, Taherian Fard, Atefeh, Mar, Jessica C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871437/
https://www.ncbi.nlm.nih.gov/pubmed/36691728
http://dx.doi.org/10.1093/gigascience/giac126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871437/
https://www.ncbi.nlm.nih.gov/pubmed/36691728
http://dx.doi.org/10.1093/gigascience/giac126

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