To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("gespeR")
In most cases, you don't need to download the package archive at all.
gespeR
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Gene-Specific Phenotype EstimatoR
Bioconductor version: Release (3.4)
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("gespeR")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("gespeR")
| R Script | An R package for deconvoluting off-target confounded RNAi screens | |
| Reference Manual |
Details
| biocViews | CellBasedAssays, GeneTarget, Preprocessing, Regression, Software, Visualization |
| Version | 1.6.1 |
| In Bioconductor since | BioC 3.1 (R-3.2) (2 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 | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | gespeR_1.6.1.tar.gz |
| Windows Binary | gespeR_1.6.1.zip |
| Mac OS X 10.9 (Mavericks) | gespeR_1.6.1.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/gespeR/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/gespeR/ |
| Package Downloads Report | Download Stats |
Documentation »
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