The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.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-devel (arm64): GTEs_1.0.0.tgz, r-release (arm64): GTEs_1.0.0.tgz, r-oldrel (arm64): GTEs_1.0.0.tgz, r-devel (x86_64): 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 form https://CRAN.R-project.org/package=GTEs to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.