pmm
This is the development version of pmm; for the stable release version, see pmm.
Parallel Mixed Model
Bioconductor version: Development (3.21)
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("pmm")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("pmm")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pmm")
User manual for R-Package PMM | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Regression, Software, SystemsBiology |
Version | 1.39.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (9.5 years) |
License | GPL-3 |
Depends | R (>= 2.10) |
Imports | lme4, splines |
System Requirements | |
URL |
See More
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Depends On Me | |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | pmm_1.39.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/pmm |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pmm |
Bioc Package Browser | https://code.bioconductor.org/browse/pmm/ |
Package Short Url | https://bioconductor.org/packages/pmm/ |
Package Downloads Report | Download Stats |