gemini
GEMINI: Variational inference approach to infer genetic interactions from pairwise CRISPR screens
Bioconductor version: 3.23 · Package version: 1.26.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
GEMINI uses log-fold changes to model sample-dependent and independent effects, and uses a variational Bayes approach to infer these effects. The inferred effects are used to score and identify genetic interactions, such as lethality and recovery. More details can be found in Zamanighomi et al. 2019 (in press).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("gemini")Details
| Maintainer | Sidharth Jain <sidharthsjain@gmail.com> |
| Author | Mahdi Zamanighomi [aut], Sidharth Jain [aut, cre] |
| License | BSD_3_clause + file LICENSE |
| Bug Reports | https://github.com/sellerslab/gemini/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Bayesian, CRISPR, DataImport, Software |
| Package Short Url | https://bioconductor.org/packages/gemini/ |
Citation
From within R, enter citation("gemini"):
Mahdi Zamanighomi, Sidharth Jain. gemini: GEMINI: Variational inference approach to infer genetic interactions from pairwise CRISPR screens. doi:10.18129/B9.bioc.gemini, R package version 1.26.0, https://bioconductor.org/packages/gemini.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | gemini_1.26.0.tar.gz |
| Windows binary (x86_64) | gemini_1.26.0.zip |
| macOS binary (arm64) | gemini_1.26.0.tgz |
| macOS binary (x86_64) | gemini_1.26.0.tgz |