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gemini

This is the released version of gemini; for the devel version, see gemini.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

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


Bioconductor version: Release (3.23)

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).

Author: Mahdi Zamanighomi [aut], Sidharth Jain [aut, cre]

Maintainer: Sidharth Jain <sidharthsjain at gmail.com>

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.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("gemini")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("gemini")
QuickStart HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Bayesian, CRISPR, DataImport, Software
Version1.26.0
In Bioconductor sinceBioC 3.10 (R-3.6) (7 years)
License BSD_3_clause + file LICENSE
Depends R (>= 4.1.0)
Imports dplyr, grDevices, ggplot2, magrittr, mixtools, scales, pbmcapply, parallel, stats, utils
System Requirements
URL
Bug Reportshttps://github.com/sellerslab/gemini/issues
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Suggests knitr, rmarkdown, testthat
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Package Archives

Follow 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 (big-sur-x86_64) gemini_1.26.0.tgz
macOS Binary (sonoma-arm64) gemini_1.26.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/gemini
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/gemini
Package Short Url https://bioconductor.org/packages/gemini/
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