gemini
GEMINI: Variational inference approach to infer genetic interactions from pairwise CRISPR screens
Bioconductor version: 3.24 · Package version: 1.27.0
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 |
| Downloads rank | 348 |
| Source branch | devel |
| biocViews | Bayesian, CRISPR, DataImport, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | gemini_1.27.0.tar.gz |
| Windows binary (x86_64) | gemini_1.27.0.zip |
| macOS binary (arm64) | gemini_1.27.0.tgz |
| macOS binary (x86_64) | gemini_1.27.0.tgz |