Cleanet: Automated Doublet Detection and Classification for Cytometry Data (original) (raw)
Automated method for doublet detection in flow or mass cytometry data, based on simulating doublets and finding events whose protein expression patterns are similar to the simulated doublets.
| Version: | 1.0.0 |
|---|---|
| Depends: | R (≥ 3.5) |
| Imports: | Rcpp, RcppHNSW, ggplot2, dplyr, tidyr, readr, reshape2, tibble, magrittr, methods |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, vctrs |
| Published: | 2024-12-19 |
| DOI: | 10.32614/CRAN.package.Cleanet |
| Author: | Matei Ionita [aut, cre] |
| Maintainer: | Matei Ionita <matei.ionita at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | Cleanet results |
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