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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...
Autores principales: | Dharmaratne, Malindrie, Kulkarni, Ameya S, Taherian Fard, Atefeh, Mar, Jessica C |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
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 |
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