To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("COSNet")

In most cases, you don't need to download the package archive at all.

COSNet

DOI: 10.18129/B9.bioc.COSNet    

Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings

Bioconductor version: Release (3.6)

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:// URLs are not supported
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")

 

PDF R Script An R Package for Predicting Binary Labels in Partially-Labeled Graphs
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, GraphAndNetwork, Network, NeuralNetwork, Software
Version 1.12.0
In Bioconductor since BioC 3.0 (R-3.1) (3 years)
License GPL (>= 2)
Depends
Imports
LinkingTo
Suggests bionetdata, PerfMeas, RUnit, BiocGenerics
SystemRequirements
Enhances
URL https://github.com/m1frasca/COSNet_GitHub
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package COSNet_1.12.0.tar.gz
Windows Binary COSNet_1.12.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) COSNet_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/COSNet
Package Short Url http://bioconductor.org/packages/COSNet/
Package Downloads Report Download Stats

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