Other packages > Find by keyword >

HDStIM  

High Dimensional Stimulation Immune Mapping ('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]
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. Accessed 22 Dec. 2024.
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
Complete documentation for HDStIM
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
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA