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

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 ImmunoOncology Network Regression
MaintainerSimon Dirmeier <simon.dirmeier@web.de>
LicenseGPL-3
Version1.7.0
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("remotes")
remotes::install_github("cbg-ethz/perturbatr")
cbg-ethz/perturbatr documentation built on Feb. 11, 2020, 4:21 p.m.