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