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HDStIM
View on CRAN: Click
here
Download and install HDStIM package within the R console
Install from CRAN:
install.packages("HDStIM")
Install from Github:
library("remotes")
install_github("cran/HDStIM")
Install by package version:
library("remotes")
install_version("HDStIM", "0.1.0")
Attach the package and use:
library("HDStIM")
Maintained by
Rohit Farmer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-24
Latest Update: 2022-06-24
Description:
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.
How to cite:
Rohit Farmer (2022). HDStIM: High Dimensional Stimulation Immune Mapping ('HDStIM'). R package version 0.1.0, https://cran.r-project.org/web/packages/HDStIM
Previous versions and publish date:
No previous versions
Other packages that cited HDStIM R package
View HDStIM citation profile
Other R packages that HDStIM depends,
imports, suggests or enhances
Functions, R codes and Examples using
the HDStIM R package
Some associated functions: HDStIM . chi11 . marker_ranking_boruta . plot_K_Fisher . plot_exprs . plot_umap .
Some associated R codes: HDStIM.R . dataDocumentaion.R . marker_ranking_boruta.R . plot_K_Fisher.R . plot_exprs.R . plot_umap.R . Full HDStIM package functions and examples
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