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:	1.1.0
Depends:	R (≥ 3.5.0), limma
Imports:	stats, mixtools, ggplot2, dplyr, ggsci, ggridges, ggprism
Suggests:	knitr, rmarkdown
Published:	2022-08-11
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_1.1.0.tar.gz
Windows binaries:	r-devel: CEDA_1.1.0.zip, r-release: CEDA_1.1.0.zip, r-oldrel: CEDA_1.1.0.zip
macOS binaries:	r-release (arm64): CEDA_1.1.0.tgz, r-oldrel (arm64): CEDA_1.1.0.tgz, r-release (x86_64): CEDA_1.1.0.tgz, r-oldrel (x86_64): CEDA_1.1.0.tgz
Old sources:	CEDA archive

Linking:

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