Process / pipelineBioinformatics / omics
多组学RNA-seq差异表达分析
多组学RNA-seq差异表达分析结合了RNA测序的转录本水平计数数据与一个或多个额外的组学层面（如蛋白质组学、代谢组学、表观基因组学或基因组变异数据），以识别在不同生物学条件下系统性差异的基因、蛋白质或代谢物。通过整合多个分子层面，该流程能够捕获仅凭转录组学无法解析的调控机制，从而更全面地理解驱动观察到的表型的生物学过程。
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来源
- Love, M. I., Huber, W., & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology, 15(12), 550. DOI: 10.1186/s13059-014-0550-8 ↗
- Argelaguet, R., Velten, B., Arnol, D., Dietrich, S., Zenz, T., Marioni, J. C., Buettner, F., Huber, W., & Stegle, O. (2018). Multi-Omics Factor Analysis — a framework for unsupervised integration of multi-omics data sets. Molecular Systems Biology, 14(6), e8124. DOI: 10.15252/msb.20178124 ↗
如何引用本页
ScholarGate. (2026, June 3). Multi-omics RNA-seq Differential Expression Analysis. ScholarGate. https://scholargate.app/zh/bioinformatics/multi-omics-rna-seq-differential-expression
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