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使用单细胞参考数据批量RNA-seq数据的细胞类型解卷:一个比较分析和推指南

Xintian Xu1,2, Rui Li1,2, Ouyang Mo1,2

  • 1Key Laboratory of Molecular Virology and Immunology, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, 320 Yueyang Road, Xuhui District, Shanghai 200031, China.

Briefings in bioinformatics
|February 3, 2025
PubMed
概括

使用单细胞RNA测序 (scRNA-seq) 参考数据准确估计细胞类型比例至关重要. 这项研究系统地评估了九种解卷方法,揭示了影响其准确性的关键因素,并提供了实际指导方针.

关键词:
细胞类型的解解.免疫透 免疫透是什么?绩效评价 绩效评价 绩效评价 绩效评价 绩效评价预测的准确性 预测的准确性在 scRNA-seq 参考文献中.

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RNA-seq03:21

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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