RankCompV3:基于相对表达顺序和应用在单细胞RNA转录学中的差异表达分析算法

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Updated: Jun 17, 2025

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
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Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

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Jing Yan1, Qiuhong Zeng1, Xianlong Wang2,3

  • 1Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, 350122, China.

BMC bioinformatics
|August 7, 2024
PubMed
概括

RankCompV3通过比较基因表达顺序,准确地识别单细胞RNA测序 (scRNA-seq) 数据中的差异表达基因 (DEG). 这种新的方法可以提高对微弱生物信号的灵敏度,并有效控制假阳性率.

关键词:
微分表达式分析 微分表达式分析不同表达的基因.相对表达式的排序相对表达式的排序单细胞RNA测序的一个细胞.

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