Rcpp, parallel, purrr, matrixStats, SpatialNP, sp, DT,
TeachingDemos, plotrix, fmsb, rgdal, swfscMisc, rgeos,
graphics, stats, grDevices, methods
'documentation_page.R' 'clusters.R' 'permutations.R'
'gaussian_multi.R' 'wmw_multi.R' 'wmw_fonc.R' 'scan_fonc.R'
'scan_multi.R' 'plot_map.R' 'RcppExports.R'
'dfree_index_multi.R' 'pointwise_dfree.R'
'pointwise_wmw_multi.R' 'pointwise_wmw_uni.R'
'transform_data.R' 'data_fmulti_data.R' 'data_funi_data.R'
'data_multi_data.R' 'data_map_sites.R' 'posteriori_filtering.R'
'non_overlap.R' 'scan_uni.R' 'wmw_uni.R' 'dfree.R'
'finalizing_scan_procedure.R' 'HDSpatialScan_plot.R'
'HDSpatialScan_Classes.R' 'HDSpatialScan_plotCurves.R'
'HDSpatialScan_plotSummary.R' 'HDSpatialScan_print.R'
'HDSpatialScan_summary.R' 'InitScan.R' 'SpatialScan.R'

Rcpp, parallel, pbapply, purrr, matrixStats, SpatialNP, sp,
sf, DT, TeachingDemos, plotrix, fmsb, swfscMisc, rgeos,
graphics, stats, grDevices, methods

High Dimensional Stimulation Immune Mapping ('HDStIM')
c(person(given = "Rohit",
family = "Farmer",
role = c("aut", "cre"),
email = "rohit.farmer@gmail.com",
comment = c(ORCID = "0000-0003-4197-3047")),
person(given = "Richard",
family = "Apps",
role = "aut",
email = "richard.apps@nih.gov",
comment = c(ORCID = "0000-0001-5140-0141")),
person(given = "John",
family = "Tsang",
role = c("aut","pdr"),
email = "john.tsang@nih.gov",
comment = c(ORCID = "0000-0003-3186-3047")))
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.
tibble, ggplot2, uwot, dplyr, tidyr, broom, tidyselect,
ggridges, Boruta, scales