Weighted gene co-expression network analysis (WGCNA) allows for the identification and characterization of cell type-specific gene modules in complex transcriptome datasets. Here, we use a microarray dataset of human macrophages comprising 29 conditions and 299 samples generated by differentiation of CD14+ monocytes into macrophages followed by in vitro stimulations to identify stimulation-specific gene modules. These gene modules can be used for experimental validation, as well as further bioinformatic analysis to determine key pathways or upstream transcription factors.
Keywords: Bioinformatics; Macrophages; Microarray; RNA-seq; Transcriptome analysis; Weighted gene co-expression network analysis.