Publication: The shaky foundations of simulating single-cell RNA sequencing data
The shaky foundations of simulating single-cell RNA sequencing data
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Crowell, H. L., Morillo Leonardo, S. X., Soneson, C., & Robinson, M. D. (2023). The shaky foundations of simulating single-cell RNA sequencing data. Genome Biology, 24(1), 62. https://doi.org/10.1186/s13059-023-02904-1
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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 their own as well as in comparison to existing tools. Benchmark studies aim to consolidate the space of available methods for a given task and often use simulated data that provide a ground truth for evaluations, thus demanding a high qualit
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- Crowell, Helena L
- Morillo Leonardo, Sarah X
- Soneson, Charlotte
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Crowell, H. L., Morillo Leonardo, S. X., Soneson, C., & Robinson, M. D. (2023). The shaky foundations of simulating single-cell RNA sequencing data. Genome Biology, 24(1), 62. https://doi.org/10.1186/s13059-023-02904-1
