pmm
Parallel Mixed Model
Bioconductor version: 3.23 · Package version: 1.44.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
DOI: 10.18129/B9.bioc.pmm
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("pmm")Details
| Maintainer | Anna Drewek <adrewek@stat.math.ethz.ch> |
| Author | Anna Drewek |
| License | GPL-3 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Regression, Software, SystemsBiology |
| Package Short Url | https://bioconductor.org/packages/pmm/ |
Citation
From within R, enter citation("pmm"):
Anna Drewek. pmm: Parallel Mixed Model. doi:10.18129/B9.bioc.pmm, R package version 1.44.0, https://bioconductor.org/packages/pmm.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | pmm_1.44.0.tar.gz |
| Windows binary (x86_64) | pmm_1.44.0.zip |
| macOS binary (arm64) | pmm_1.44.0.tgz |
| macOS binary (x86_64) | pmm_1.44.0.tgz |