gespeR
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see gespeR.
Gene-Specific Phenotype EstimatoR
Bioconductor version: 3.18
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("gespeR")
):
Installation
To install this package, start R (version "4.3") 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")
An R package for deconvoluting off-target confounded RNAi screens | R Script | |
Reference Manual |
Details
biocViews | CellBasedAssays, GeneTarget, ImmunoOncology, Preprocessing, Regression, Software, Visualization |
Version | 1.34.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (9 years) |
License | GPL-3 |
Depends | methods, graphics, ggplot2, R (>= 2.10) |
Imports | Matrix, glmnet, cellHTS2, Biobase, biomaRt, doParallel, parallel, foreach, reshape2, dplyr |
System Requirements | |
URL | http://www.cbg.ethz.ch/software/gespeR |
See More
Suggests | knitr |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | gespeR_1.34.0.tar.gz |
Windows Binary | gespeR_1.34.0.zip |
macOS Binary (x86_64) | gespeR_1.34.0.tgz |
macOS Binary (arm64) | gespeR_1.34.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/gespeR |
Source Repository (Developer Access) | git clone [email protected]:packages/gespeR |
Bioc Package Browser | https://code.bioconductor.org/browse/gespeR/ |
Package Short Url | https://bioconductor.org/packages/gespeR/ |
Package Downloads Report | Download Stats |