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CEDA  

CRISPR Screen and Gene Expression Differential Analysis
View on CRAN: Click here


Download and install CEDA package within the R console
Install from CRAN:
install.packages("CEDA")

Install from Github:
library("remotes")
install_github("cran/CEDA")

Install by package version:
library("remotes")
install_version("CEDA", "1.1.1")



Attach the package and use:
library("CEDA")
Maintained by
Lianbo Yu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-07
Latest Update: 2024-02-27
Description:
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.
How to cite:
Lianbo Yu (2022). CEDA: CRISPR Screen and Gene Expression Differential Analysis. R package version 1.1.1, https://cran.r-project.org/web/packages/CEDA. Accessed 28 Oct. 2026.
Previous versions and publish date:
1.0.2 (2022-01-07 14:32), 1.1.0 (2022-08-11 15:50), (2026-07-09 07:59)
Other packages that cited CEDA R package
View CEDA citation profile
Other R packages that CEDA depends, imports, suggests or enhances
Complete documentation for CEDA
Functions, R codes and Examples using the CEDA R package
Some associated functions: EMFit . alphaBeta . calculateGeneLFC . calculateGenePval . densityPlot . makeRhoNull . mda231 . medianNormalization . normalMM . permuteLimma . preparePlotData . ridgePlot . runLimma . scatterPlot . 
Some associated R codes: CEDA.R . mda231.R .  Full CEDA package functions and examples
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