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Statistical methods for differential discovery analyses in high-dimensional cytometry data (including flow cytometry, mass cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a combination of high-resolution clustering and empirical Bayes moderated tests adapted from transcriptomics.
Package details |
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Author | Lukas M. Weber [aut, cre] (<https://orcid.org/0000-0002-3282-1730>) |
Bioconductor views | CellBasedAssays CellBiology Clustering FeatureExtraction FlowCytometry ImmunoOncology Proteomics SingleCell Software |
Maintainer | Lukas M. Weber <lukas.weber.edu@gmail.com> |
License | MIT + file LICENSE |
Version | 1.10.0 |
URL | https://github.com/lmweber/diffcyt |
Package repository | View on Bioconductor |
Installation |
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