COMPASS is a statistical framework that enables unbiased analysis of antigen-specific T-cell subsets. COMPASS uses a Bayesian hierarchical framework to model all observed cell-subsets and select the most likely to be antigen-specific while regularizing the small cell counts that often arise in multi-parameter space. The model provides a posterior probability of specificity for each cell subset and each sample, which can be used to profile a subject's immune response to external stimuli such as infection or vaccination.
|Author||Lynn Lin, Kevin Ushey, Greg Finak, Ravio Kolde (pheatmap)|
|Bioconductor views||FlowCytometry ImmunoOncology|
|Maintainer||Greg Finak <firstname.lastname@example.org>|
|Package repository||View on GitHub|
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