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gemini

GEMINI: Variational inference approach to infer genetic interactions from pairwise CRISPR screens

Bioconductor version: 3.23 · Package version: 1.26.0

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

MaintainerSidharth Jain <sidharthsjain@gmail.com>
AuthorMahdi Zamanighomi [aut], Sidharth Jain [aut, cre]
LicenseBSD_3_clause + file LICENSE
Bug Reportshttps://github.com/sellerslab/gemini/issues
Downloads rank222
Source branchRELEASE_3_23
biocViewsBayesian, CRISPR, DataImport, Software

Documentation

Download

Dependencies

Depends: R (>= 4.1.0)

Imports: dplyr, grDevices, ggplot2, magrittr, mixtools, scales, pbmcapply, parallel, stats, utils

Suggests: knitr, rmarkdown, testthat