rnaiscreen: A sample pan-pathogenic perturbation dataset

Description Usage Format Author(s) References Examples

Description

Example PerturbationData object of two integrated viral RNAi screens that consists of a HCV kinome screen and a SARS kinome screen (see references).

Usage

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Format

A PerturbationData object containing a tibble with 18 columns, each describing a feature.

Author(s)

Simon Dirmeier | Computational Biology Group, ETH ZURICH | simon.dirmeier@web.de

References

de Wilde, Adriaan H., et al. (2015), A kinome-wide small interfering RNA screen identifies proviral and antiviral host factors in severe acute respiratory syndrome coronavirus replication, including double-stranded RNA-activated protein kinase and early secretory pathway proteins.
Journal of virology

Reiss, Simon, et al. (2011), Recruitment and activation of a lipid kinase by hepatitis C virus NS5A is essential for integrity of the membranous replication compartment.
Cell Host & Microbe

Friedman J., Hastie T., Hoefling H. and Tibshirani R. (2007), Pathwise coordinate optimization.
The Annals of Applied Statistics

Examples

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 data(rnaiscreen)
 fit <- hm(rnaiscreen)
 pls <- plot(fit)
 pls[[1]]

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