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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Materias: | |
| 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 |