To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("lpNet")
In most cases, you don't need to download the package archive at all.
lpNet
Linear Programming Model for Network Inference
Bioconductor version: 3.0
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")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("lpNet")
Documentation
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 |
Details
| biocViews | Network, Software |
| Version | 1.6.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) |
| License | Artistic License 2.0 |
| Depends | lpSolve, nem |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | lpNet_1.6.0.tar.gz |
| Windows Binary | lpNet_1.6.0.zip |
| Mac OS X 10.6 (Snow Leopard) | lpNet_1.6.0.tgz |
| Mac OS X 10.9 (Mavericks) | lpNet_1.6.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
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