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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CEDA to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4