cbg-ethz/perturbatr: Statistical Analysis of High-Throughput Genetic Perturbation Screens
Version 1.1.0

perturbatr does stage-wise analysis of large-scale genetic perturbation screens for integrated data sets consisting of multiple screens. For multiple integrated perturbation screens a hierarchical model that considers the variance between different biological conditions is fitted. The resulting list of gene effects is then further extended using a network propagation algorithm to correct for false negatives.

Getting started

Package details

Bioconductor views CellBasedAssays Network Regression
MaintainerSimon Dirmeier <[email protected]>
LicenseGPL-3
Version1.1.0
URL https://github.com/cbg-ethz/perturbatr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("cbg-ethz/perturbatr")
cbg-ethz/perturbatr documentation built on May 6, 2018, 7:48 p.m.