Rscreenorm: normalization of CRISPR and siRNA screen data for more reproducible hit selection.

ABSTRACT:

Background

Reproducibility of hits from independent CRISPR or siRNA screens is poor. This is partly due to data normalization primarily addressing technical variability within independent screens, and not the technical differences between them.

Results

We present "rscreenorm", a method that standardizes the functional data ranges between screens using assay controls, and subsequently performs a piecewise-linear normalization to make data distributions across all screens comparable. In simulation studies, rscreenorm reduces false positives. Using two multiple-cell lines siRNA screens, rscreenorm increased reproducibility between 27 and 62% for hits, and up to 5-fold for non-hits. Using publicly available CRISPR-Cas screen data, application of commonly used median centering yi

SUBMITTER: Bachas C 

PROVIDER: S-EPMC6102854 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature