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.
Bioconductor version: Release (3.5)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("COSNet")
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 |
biocViews | Classification, GraphAndNetwork, Network, NeuralNetwork, Software |
Version | 1.10.0 |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | COSNet_1.10.0.tar.gz |
Windows Binary | COSNet_1.10.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | COSNet_1.10.0.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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