To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pmm")
In most cases, you don't need to download the package archive at all.
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see pmm.
Bioconductor version: 3.2
The Parallel Mixed Model (PMM) approach is suitable for hit selection and cross-comparison of RNAi screens generated in experiments that are performed in parallel under several conditions. For example, we could think of the measurements or readouts from cells under RNAi knock-down, which are infected with several pathogens or which are grown from different cell lines.
Author: Anna Drewek
Maintainer: Anna Drewek <adrewek at stat.math.ethz.ch>
Citation (from within R,
enter citation("pmm")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pmm")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pmm")
Follow Installation instructions to use this package in your R session.
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