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 <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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perturbatr documentation built on Nov. 8, 2020, 5:15 p.m.