COSNet

DOI: 10.18129/B9.bioc.COSNet  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see COSNet.

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

Bioconductor version: 3.16

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("COSNet")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.32.0
In Bioconductor since	BioC 3.0 (R-3.1) (8.5 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
Links To Me
Build Report

Package Archives

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

Source Package	COSNet_1.32.0.tar.gz
Windows Binary	COSNet_1.32.0.zip (64-bit only)
macOS Binary (x86_64)	COSNet_1.32.0.tgz
macOS Binary (arm64)	COSNet_1.32.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/COSNet
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/COSNet
Bioc Package Browser	https://code.bioconductor.org/browse/COSNet/
Package Short Url	https://bioconductor.org/packages/COSNet/
Package Downloads Report	Download Stats