Bioconductor version: Release (3.6)
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")
):
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R Script | An R package for deconvoluting off-target confounded RNAi screens | |
Reference Manual |
biocViews | CellBasedAssays, GeneTarget, Preprocessing, Regression, Software, Visualization |
Version | 1.10.1 |
In Bioconductor since | BioC 3.1 (R-3.2) (3 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 | eiR |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | gespeR_1.10.1.tar.gz |
Windows Binary | gespeR_1.10.1.zip |
Mac OS X 10.11 (El Capitan) | gespeR_1.10.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/gespeR |
Package Short Url | http://bioconductor.org/packages/gespeR/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.6 | Source Archive |
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