Process / pipelineBioinformatics / omics
基于网络的RNA测序差异表达分析
基于网络的RNA测序差异表达分析将常规差异表达检验与基因互作网络（如蛋白质-蛋白质互作图或加权共表达网络）相结合，不仅旨在识别单个差异表达基因，更是识别条件间协同变化的、连贯的、具有生物学意义的基因模块。该方法能显著减少假阳性，并揭示仅凭逐基因检验所无法察觉的通路层面信号。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Zhang, B., & Horvath, S. (2005). A general framework for weighted gene co-expression network analysis. Statistical Applications in Genetics and Molecular Biology, 4(1), Article 17. link ↗
- Ideker, T., Ozier, O., Schwikowski, B., & Siegel, A. F. (2002). Discovering regulatory and signalling circuits in molecular interaction networks. Bioinformatics, 18(Suppl 1), S233–S240. link ↗
如何引用本页
ScholarGate. (2026, June 3). Network-based RNA Sequencing Differential Expression Analysis. ScholarGate. https://scholargate.app/zh/bioinformatics/network-based-rna-seq-differential-expression
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 基因集富集分析 (GSEA)生物信息学↔ compare
- 多组学RNA-seq差异表达分析生物信息学↔ compare
- 通路富集分析生物信息学↔ compare
- RNA-seq差异表达生物信息学↔ compare
- Single-cell RNA-seq analysis生物信息学↔ compare