gespeR

DOI: 10.18129/B9.bioc.gespeR    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see gespeR.

Gene-Specific Phenotype EstimatoR

Bioconductor version: 3.15

Estimates gene-specific phenotypes from off-target confounded RNAi screens. The phenotype of each siRNA is modeled based on on-targeted and off-targeted genes, using a regularized linear regression model.

Author: Fabian Schmich

Maintainer: Fabian Schmich <fabian.schmich at bsse.ethz.ch>

Citation (from within R, enter citation("gespeR")):

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("gespeR")

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("gespeR")

 

PDF R Script An R package for deconvoluting off-target confounded RNAi screens
PDF   Reference Manual

Details

biocViews CellBasedAssays, GeneTarget, ImmunoOncology, Preprocessing, Regression, Software, Visualization
Version 1.28.0
In Bioconductor since BioC 3.1 (R-3.2) (7.5 years)
License GPL-3
Depends methods, graphics, ggplot2, R (>= 2.10)
Imports Matrix, glmnet, cellHTS2, Biobase, biomaRt, doParallel, parallel, foreach, reshape2, dplyr
LinkingTo
Suggests knitr
SystemRequirements
Enhances
URL http://www.cbg.ethz.ch/software/gespeR
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package gespeR_1.28.0.tar.gz
Windows Binary gespeR_1.28.0.zip
macOS Binary (x86_64) gespeR_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/gespeR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/gespeR
Package Short Url https://bioconductor.org/packages/gespeR/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: