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.
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see gespeR.
Bioconductor version: 3.2
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("gespeR")
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 | ||
Reference Manual |
biocViews | CellBasedAssays, GeneTarget, Preprocessing, Regression, Software, Visualization |
Version | 1.2.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (1 year) |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | gespeR_1.2.0.tar.gz |
Windows Binary | gespeR_1.2.0.zip |
Mac OS X 10.6 (Snow Leopard) | gespeR_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | gespeR_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/gespeR/tree/release-3.2 |
Package Short Url | http://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: