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Systems biology approaches have revolutionized many fields, including immunology, but analysing and interpreting such large-scale datasets is challenging. Here, the authors describe a novel approach that has been developed to address this issue. It relies on the grouping of co-dependent genes into 'modules', which are then used to build 'fingerprints' that can simplify the analysis of large-scale datasets.
