rxmenezes/rscreenorm: Normalization of Multiple Genetic Screens Data

Normalizes data from multiple genetic screens, such as for example siRNA screens or CRISPR-Cas9 screens, possibly corresponding to different cell lines. Using an invariant set of values for each replicate, it quantile-normalizes all replicates while preserving differences in phenotype between them. Raw data can be read in as tab-delimited files, and must include gene and feature annotation, in particular indicating which features are part of the library and which ones are negative/positive controls.

Getting started

Package details

AuthorRenee Menezes [aut, cre]
MaintainerRenee Menezes <r.menezes@vumc.nl>
LicenseGPL-3
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("rxmenezes/rscreenorm")
rxmenezes/rscreenorm documentation built on May 15, 2019, 1:19 p.m.