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.

CEDA: CRISPR Screen and Gene Expression Differential Analysis

Provides analytical methods for analyzing CRISPR screen data at different levels of gene expression. Multi-component normal mixture models and EM algorithms are used for modeling.

Version: 1.1.1
Depends: R (≥ 3.5.0), limma
Imports: stats, mixtools, ggplot2, dplyr, ggsci, ggridges, ggprism
Suggests: knitr, rmarkdown
Published: 2024-02-27
DOI: 10.32614/CRAN.package.CEDA
Author: Lianbo Yu [aut, cre], Yue Zhao [aut], Kevin R. Coombes [aut], Lang Li [aut]
Maintainer: Lianbo Yu <Lianbo.Yu at osumc.edu>
License: Apache License (== 2.0)
NeedsCompilation: no
Materials: README
CRAN checks: CEDA results

Documentation:

Reference manual: CEDA.pdf
Vignettes: CRISPR Screen and Gene Expression Differential Analysis

Downloads:

Package source: CEDA_1.1.1.tar.gz
Windows binaries: r-devel: CEDA_1.1.1.zip, r-release: CEDA_1.1.1.zip, r-oldrel: CEDA_1.1.1.zip
macOS binaries: r-release (arm64): CEDA_1.1.1.tgz, r-oldrel (arm64): CEDA_1.1.1.tgz, r-release (x86_64): CEDA_1.1.1.tgz, r-oldrel (x86_64): CEDA_1.1.1.tgz
Old sources: CEDA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CEDA 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.