To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("lpNet")
In most cases, you don't need to download the package archive at all.
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This package is for version 2.13 of Bioconductor; for the stable, up-to-date release version, see lpNet.
Bioconductor version: 2.13
lpNet takes perturbation data as input and generates an LP model which allows the inference of signaling networks. For parameter identification either leave-one-out cross-validation or stratified n-fold cross-validation can be used.
Author: Bettina Knapp, Johanna Mazur, Lars Kaderali
Maintainer: Bettina Knapp <bettina.knapp at tu-dresden.de>
Citation (from within R,
enter citation("lpNet")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("lpNet")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("lpNet")
R Script | lpNet, network inference with a linear optimization program. | |
Reference Manual | ||
Text | NEWS |
biocViews | Software |
Version | 1.2.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (3 years) |
License | Artistic License 2.0 |
Depends | lpSolve, nem |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | lpNet_1.2.0.tar.gz |
Windows Binary | lpNet_1.2.0.zip |
Mac OS X 10.6 (Snow Leopard) | lpNet_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/lpNet/tree/release-2.13 |
Package Short Url | http://bioconductor.org/packages/lpNet/ |
Package Downloads Report | Download Stats |
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