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 |
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