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COSNet

This is the released version of COSNet; for the devel version, see COSNet.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0

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


Bioconductor version: Release (3.23)

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")):

Marco Frasca and Giorgio Valentini -- Universita' degli Studi di Milano. COSNet: Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings. doi:10.18129/B9.bioc.COSNet, R package version 1.46.0, https://bioconductor.org/packages/COSNet.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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")
An R Package for Predicting Binary Labels in Partially-Labeled Graphs PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews Classification, GraphAndNetwork, Network, NeuralNetwork, Software
Version1.46.0
In Bioconductor sinceBioC 3.0 (R-3.1) (12 years)
License GPL (>= 2)
Depends
Imports
System Requirements
URLhttps://github.com/m1frasca/COSNet_GitHub
See More
Suggests bionetdata, PerfMeas, RUnit, BiocGenerics
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Build Report Build Report, r-universe

Package Archives

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

Source Package COSNet_1.46.0.tar.gz
Windows Binary (x86_64) COSNet_1.46.0.zip
macOS Binary (big-sur-x86_64) COSNet_1.46.0.tgz
macOS Binary (sonoma-arm64) COSNet_1.46.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/COSNet
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/COSNet
Package Short Url https://bioconductor.org/packages/COSNet/
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