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GTEs  

Group Technical Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GTEs", "1.0.0")



Attach the package and use:
library("GTEs")
Maintained by
Yang Zhou
[Scholar Profile | Author Map]
First Published: 2025-02-27
Latest Update: 2025-02-27
Description:
Implementation of the GTE (Group Technical Effects) model for single-cell data. GTE is a quantitative metric to assess batch effects for individual genes in single-cell data. For a single-cell dataset, the user can calculate the GTE value for individual features (such as genes), and then identify the highly batch-sensitive features. Removing these highly batch-sensitive features results in datasets with low batch effects.
How to cite:
Yang Zhou (2025). GTEs: Group Technical Effects. R package version 1.0.0, https://cran.r-project.org/web/packages/GTEs. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited GTEs R package
View GTEs citation profile
Other R packages that GTEs depends, imports, suggests or enhances
Complete documentation for GTEs
Functions, R codes and Examples using the GTEs R package
Full GTEs package functions and examples
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