The shaky foundations of simulating single-cell RNA sequencing data

BACKGROUND: With the emergence of hundreds of single-cell RNA-sequencing (scRNA-seq) datasets, the number of computational tools to analyze aspects of the generated data has grown rapidly. As a result, there is a recurring need to demonstrate whether newly developed methods are truly performant—on t...

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Detalles Bibliográficos
Autores principales: Crowell, Helena L., Morillo Leonardo, Sarah X., Soneson, Charlotte, Robinson, Mark D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061781/
https://www.ncbi.nlm.nih.gov/pubmed/36991470
http://dx.doi.org/10.1186/s13059-023-02904-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061781/
https://www.ncbi.nlm.nih.gov/pubmed/36991470
http://dx.doi.org/10.1186/s13059-023-02904-1

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