Other packages > Find by keyword >

CytOpT  

Optimal Transport for Gating Transfer in Cytometry Data with Domain Adaptation
View on CRAN: Click here


Download and install CytOpT package within the R console
Install from CRAN:
install.packages("CytOpT")

Install from Github:
library("remotes")
install_github("cran/CytOpT")

Install by package version:
library("remotes")
install_version("CytOpT", "0.9.8")



Attach the package and use:
library("CytOpT")
Maintained by
Boris Hejblum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-07
Latest Update: 2025-04-01
Description:
Supervised learning from a source distribution (with known segmentation into cell sub-populations) to fit a target distribution with unknown segmentation. It relies regularized optimal transport to directly estimate the different cell population proportions from a biological sample characterized with flow cytometry measurements. It is based on the regularized Wasserstein metric to compare cytometry measurements from different samples, thus accounting for possible mis-alignment of a given cell population across sample (due to technical variability from the technology of measurements). Supervised learning technique based on the Wasserstein metric that is used to estimate an optimal re-weighting of class proportions in a mixture model Details are presented in Freulon P, Bigot J and Hejblum BP (2021) .
How to cite:
Boris Hejblum (2022). CytOpT: Optimal Transport for Gating Transfer in Cytometry Data with Domain Adaptation. R package version 0.9.8, https://cran.r-project.org/web/packages/CytOpT. Accessed 07 Aug. 2026.
Previous versions and publish date:
0.9.2 (2022-02-07 10:30), 0.9.4 (2022-02-09 18:10), 0.9.6 (2025-03-26 11:00), 0.9.7 (2025-03-30 19:00), (2026-07-09 08:01)
Other packages that cited CytOpT R package
View CytOpT citation profile
Other R packages that CytOpT depends, imports, suggests or enhances
Complete documentation for CytOpT
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  
modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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