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scDETECT:一种新的统计模型,用于单细胞RNA-seq差异表达分析中的细胞类型相关性

Yuhan Xu1,2, Weiwei Zhang3, Hao Wu1,4

  • 1Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, No. 1068 Xueyuan Avenue, Nanshan District, Shenzhen, Guangdong 518055, China.

Briefings in bioinformatics
|October 27, 2025
PubMed
概括

我们开发了scDETECT,这是一种用于单细胞RNA测序 (scRNA-seq) 差异表达分析的新方法. 它考虑了细胞类型的相关性,与现有方法相比,提高了准确性和统计能力.

关键词:
贝叶斯的等级模型是贝叶斯的等级模型.细胞类型相关性相关性不同的表达方式,不同的表达方式.一个单细胞RNA-seqq.

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RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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