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.
Package details |
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Author | Lynn Lin, Kevin Ushey, Greg Finak, Ravio Kolde (pheatmap) |
Bioconductor views | FlowCytometry ImmunoOncology |
Maintainer | Greg Finak <gfinak@fhcrc.org> |
License | Artistic-2.0 |
Version | 1.29.5 |
Package repository | View on GitHub |
Installation |
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