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: | 1.0.2 |
Depends: | R (≥ 3.5.0), limma |
Imports: | stats, mixtools, ggplot2 |
Suggests: | knitr, rmarkdown |
Published: | 2022-01-07 |
Author: | Lianbo Yu [aut, cre], Kevin R. Coombes [aut] |
Maintainer: | Lianbo Yu <Lianbo.Yu at osumc.edu> |
License: | Apache License (== 2.0) |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | CEDA results |
Reference manual: | CEDA.pdf |
Vignettes: |
CRISPR Screen and Gene Expression Differential Analysis |
Package source: | CEDA_1.0.2.tar.gz |
Windows binaries: | r-devel: CEDA_1.0.2.zip, r-release: CEDA_1.0.2.zip, r-oldrel: CEDA_1.0.2.zip |
macOS binaries: | r-release (arm64): CEDA_1.0.2.tgz, r-oldrel (arm64): CEDA_1.0.2.tgz, r-release (x86_64): CEDA_1.0.2.tgz, r-oldrel (x86_64): CEDA_1.0.2.tgz |
Please use the canonical form https://CRAN.R-project.org/package=CEDA to link to this page.