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Updated: Jun 30, 2025

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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eSVD-DE:使用指数级家族嵌入的单细胞RNA-seq数据中的队列范围的差异表达

Kevin Z Lin1, Yixuan Qiu2, Kathryn Roeder3

  • 1Department of Biostatistics, University of Washington, Seattle, WA, USA. kzlin@uw.edu.

BMC bioinformatics
|March 15, 2024
PubMed
概括

我们开发了eSVD-DE,这是一种分析大型单细胞RNA测序 (scRNA) 数据集的新方法,以在队列中找到差异表达的基因. 这种方法准确地识别了个体层面的基因表达差异,这对于人口研究至关重要.

关键词:
案例 控制对象 控制对象玛 鱼子分布矩阵分解因子化多个个体数据的数据.

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