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The shaky foundations of simulating single-cell RNA sequencing data

Abstract 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 perform...

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主要な著者: Helena L. Crowell, Sarah X. Morillo Leonardo, Charlotte Soneson, Mark D. Robinson
フォーマット: Artigo
言語:Inglês
出版事項: BMC 2023-03-01
シリーズ:Genome Biology
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オンライン・アクセス:https://doi.org/10.1186/s13059-023-02904-1
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