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.

Package details

AuthorSimon Dirmeier [aut, cre]
Bioconductor views CellBasedAssays ImmunoOncology Network Regression
MaintainerSimon Dirmeier <[email protected]>
LicenseGPL-3
Version1.4.0
URL https://github.com/cbg-ethz/perturbatr
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("perturbatr")

Try the perturbatr package in your browser

Any scripts or data that you put into this service are public.

perturbatr documentation built on May 6, 2019, 2:59 a.m.