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GTEs: Group Technical Effects

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.

Version:1.0.0
Depends:R (≥ 4.0.0)
Imports:stats,Matrix,matrixStats,Rcpp,RcppEigen,dplyr
LinkingTo:Rcpp (≥ 1.0.8),RcppEigen
Published:2025-02-27
DOI:10.32614/CRAN.package.GTEs
Author:Yang Zhou [aut, cre]
Maintainer:Yang Zhou <yangz at stu.hit.edu.cn>
BugReports:https://github.com/yzhou1999/GTEs/issues
License:GPL-3
URL:https://github.com/yzhou1999/GTEs,https://yzhou1999.github.io/GTEs/
NeedsCompilation:yes
Language:en-US
Materials:README
CRAN checks:GTEs results

Documentation:

Reference manual:GTEs.html ,GTEs.pdf

Downloads:

Package source: GTEs_1.0.0.tar.gz
Windows binaries: r-devel:GTEs_1.0.0.zip, r-release:GTEs_1.0.0.zip, r-oldrel:GTEs_1.0.0.zip
macOS binaries: r-release (arm64):GTEs_1.0.0.tgz, r-oldrel (arm64):GTEs_1.0.0.tgz, r-release (x86_64):GTEs_1.0.0.tgz, r-oldrel (x86_64):GTEs_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=GTEsto link to this page.


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