The manuscript describing immunoStates is now published in Nature Communications. Please see Supplementary Data 2 for the immunoStates matrix with gene names and expression values for each gene in each immune cell type.
You can download immunoStates code for re-running the analyses and recreating plots in the manuscript. If you wish to run immunoStates on your own data, please install MetaIntegrator from CRAN and follow the example on how to use immunoStates within MetaIntegrator. We have demonstrated utility of immunoStates by identifying a novel biomarker for susceptibility to influenza infection, building in silico immune profiles across multiple independent cohorts in TB patients, and identifying absolute monocyte count as prognostic marker of poor outcome in pan-fibrotic diseases.