lpNet
Linear Programming Model for Network Inference
Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("lpNet")
To cite this package in a publication, start R and enter:
citation("lpNet")
Documentation
| R Script | lpNet, network inference with a linear optimization program. | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Software |
| Version | 1.0.0 |
| In Bioconductor since | BioC 2.13 (R-2.18) |
| License | Artistic License 2.0 |
| Depends | lpSolve, nem |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Downloads
| Package Source | lpNet_1.0.0.tar.gz |
| Windows Binary | lpNet_1.0.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | lpNet_1.0.0.tgz |
| Package Downloads Report | Download Stats |
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