High Dimensional Stimulation Immune Mapping ('HDStIM') R package HDStIM version 0.1.0 A method for identifying responses to experimental stimulation in mass or flow cytometry that uses high dimensional analysis of measured parameters and can be performed with an end-to-end unsupervised approach. In the context of in vitro stimulation assays where high-parameter cytometry was used to monitor intracellular response markers, using cell populations annotated either through automated clustering or manual gating for a combined set of stimulated and unstimulated samples, 'HDStIM' labels cells as responding or non-responding. The package also provides auxiliary functions to rank intracellular markers based on their contribution to identifying responses and generating diagnostic plots. Software Depends: R (>= 3.6.0) Imports: tibble, ggplot2, uwot, dplyr, tidyr, broom, tidyselect, ggridges, Boruta, scales Suggests: knitr, rmarkdown, testthat Rohit Farmer <rohit.farmer@gmail.com> Comprehensive R Archive Network (CRAN) Rohit Farmer [aut, cre] (ORCID: <https://orcid.org/0000-0003-4197-3047>), Richard Apps [aut] (ORCID: <https://orcid.org/0000-0001-5140-0141>), John Tsang [aut, pdr] (ORCID: <https://orcid.org/0000-0003-3186-3047>) CC0 file LICENSE (https://CRAN.R-project.org/package=HDStIM/LICENSE) 2022-06-24 application/tgz https://CRAN.R-project.org/package=HDStIM doi:10.32614/CRAN.package.HDStIM en-US