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This package is for version 3.4 of Bioconductor;
for the stable, up-to-date release version, see
netbenchmark.
Benchmarking of several gene network inference methods
Bioconductor version: 3.4
This package implements a benchmarking of several gene network inference algorithms from gene expression data.
Author: Pau Bellot, Catharina Olsen, Patrick Meyer, with contributions from Alexandre Irrthum
Maintainer: Pau Bellot <pau.bellot at upc.edu>
Citation (from within R,
enter citation("netbenchmark")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("netbenchmark")
Documentation
Details
| biocViews | GeneExpression, GraphAndNetwork, Microarray, Network, NetworkInference, Software |
| Version | 1.6.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (2 years) |
| License | CC BY-NC-SA 4.0 |
| Depends | grndata(>= 0.99.3) |
| Imports | Rcpp (>= 0.11.0), minet, randomForest, c3net, PCIT, GeneNet, tools, pracma, Matrix, corpcor, fdrtool |
| LinkingTo | Rcpp |
| Suggests | RUnit, BiocGenerics, knitr, graph |
| SystemRequirements | |
| Enhances | |
| URL | imatge.upc.edu/netbenchmark/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow
Installation instructions to use this
package in your R session.
Read more here: Source link
