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CytOpT
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", "0.9.4")
Attach the package and use:
library("CytOpT")
Maintained by
Boris Hejblum
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-07
Latest Update: 2022-02-09
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 0.9.4, https://cran.r-project.org/web/packages/CytOpT
Previous versions and publish date:
0.9.2 (2022-02-07 10:30)
Other packages that cited CytOpT R package
View CytOpT citation profile
Other R packages that CytOpT depends,
imports, suggests or enhances
Functions, R codes and Examples using
the CytOpT R package
Some associated functions: Bland_Altman . CytOpT . HIPC_Stanford . KL_plot . Label_Prop_sto_r . barplot_prop . cytopt_desasc_r . cytopt_minmax_r . plot.CytOpt . print.CytOpt . print.summary.CytOpt . summary.CytOpt .
Some associated R codes: Bland_Altman.R . CytOpT.R . HIPC_Standford.R . KL_plot.R . Label_Prop_sto.R . barplot_prop.R . cytopt_desasc.R . cytopt_minmax.R . plot.CytOpt.R . print.CytOpt.R . summary.CytOpt.R . testthat-helpers.R . zzz.R . Full CytOpT package functions and examples
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