Statistical methods for differential discovery analyses in high-dimensional cytometry data (including flow cytometry, mass cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on (i) high-resolution clustering and (ii) empirical Bayes moderated tests adapted from transcriptomics.
|Author||Lukas M. Weber [aut, cre]|
|Bioconductor views||CellBasedAssays CellBiology Clustering FeatureExtraction FlowCytometry Proteomics SingleCell Software|
|Date of publication||2018-08-15|
|Maintainer||Lukas M. Weber <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on Bioconductor|
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