To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("COSNet")
In most cases, you don't need to download the package archive at all.
COSNet
Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings
Bioconductor version: 3.1
Package that implements the COSNet classification algorithm. The algorithm predicts node labels in partially labeled graphs where few positives are available for the class being predicted.
Author: Marco Frasca and Giorgio Valentini -- Universita' degli Studi di Milano
Maintainer: Marco Frasca<frasca at di.unimi.it>
Citation (from within R,
enter citation("COSNet")):
Installation
To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("COSNet")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("COSNet")
| R Script | An R Package for Predicting Binary Labels in Partially-Labeled Graphs | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Classification, GraphAndNetwork, Network, NeuralNetwork, Software |
| Version | 1.3.3 |
| In Bioconductor since | BioC 3.0 (R-3.1) (1 year) |
| License | GPL (>= 2) |
| Depends | |
| Imports | |
| LinkingTo | |
| Suggests | bionetdata, PerfMeas, RUnit, BiocGenerics |
| 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 | COSNet_1.3.3.tar.gz |
| Windows Binary | COSNet_1.3.3.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | COSNet_1.3.3.tgz |
| Mac OS X 10.9 (Mavericks) | COSNet_1.3.3.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/COSNet/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/COSNet/ |
| Package Downloads Report | Download Stats |
Documentation »
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