Abstract
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.
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Ulas, T., Schultze, J.L., Beyer, M. (2018). Bioinformatic Assessment of Macrophage Activation by the Innate Immune System. In: De Nardo, D., De Nardo, C. (eds) Innate Immune Activation. Methods in Molecular Biology, vol 1714. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7519-8_2
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DOI: https://doi.org/10.1007/978-1-4939-7519-8_2
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