Process / pipelineBioinformatics / omics

Network-based RNA-seq Differential Expression Analysis

Network-based RNA-seq differential expression analysis integrates conventional differential expression testing with gene interaction networks — such as protein-protein interaction graphs or weighted co-expression networks — to identify not just individual differentially expressed genes but coherent, biologically meaningful gene modules that change together between conditions. This approach substantially reduces false positives and surfaces pathway-level signals invisible to gene-by-gene testing.

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Sources

  1. 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
  2. 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

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Referenced by

ScholarGateNetwork-based RNA-seq differential expression (Network-based RNA Sequencing Differential Expression Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/network-based-rna-seq-differential-expression