Immune Deconvolution
The study used CIBERSORTx digital cytometry with pan-cancer and glioblastoma-specific reference matrices. Immune scores were converted into low and high classes using Gaussian mixture modeling. The binarization process produced 17 immune l…
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The study used CIBERSORTx digital cytometry with pan-cancer and glioblastoma-specific reference matrices. Immune scores were converted into low and high classes using Gaussian mixture modeling. The binarization process produced 17 immune labels for classifier training and testing. The reference matrices generated immune scores for several cell categories including T cells, macrophages, dendritic cells, natural killer cells, and microglia.