The COSNet R package

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Next : Main functionalities of COSNet

Software installation

To install the COSNet package, run the R environment as administrator and type

 source("https://bioconductor.org/biocLite.R")
 biocLite("COSNet")

Try http if https is not available. This will download and install the package. Another possibility is doing it manually. For instance, on a unix/linix R environment, download the package at http://bioconductor.org/packages/release/bioc/src/contrib/COSNet_1.3.3.tar.gz and save it in the current folder. Then from the R prompt type

install.packages("COSNet_1.3.3.tar.gz", repos=NULL)

The COSNet package has no dependencies. Nevertheless, the experiments reported in the package vignette use the R packages bionetdata and PerfMeas, available at the CRAN repository, for loading benchmark data and compute various measure of performance respectively.

The package PerfMeas in turn depends on the Bioconductor R packages limma, graph, and RBGL, which can be installed as described for the COSNet package.

To install the bionetdata package, type

install.packages("bionetdata")

or follow the instruction for the manual installation above.


The COSNet R package Prev. : Software and documentation download Next : Main functionalities of COSNet Overview of the COSNet R Package Software and documentation download Software installation Main functionalities of COSNet A step-by-step application of COSNet to protein function prediction	Software installation To install the COSNet package, run the R environment as administrator and type source("https://bioconductor.org/biocLite.R") biocLite("COSNet") Try http if https is not available. This will download and install the package. Another possibility is doing it manually. For instance, on a unix/linix R environment, download the package at http://bioconductor.org/packages/release/bioc/src/contrib/COSNet_1.3.3.tar.gz and save it in the current folder. Then from the R prompt type install.packages("COSNet_1.3.3.tar.gz", repos=NULL) The COSNet package has no dependencies. Nevertheless, the experiments reported in the package vignette use the R packages bionetdata and PerfMeas, available at the CRAN repository, for loading benchmark data and compute various measure of performance respectively. The package PerfMeas in turn depends on the Bioconductor R packages limma, graph, and RBGL, which can be installed as described for the COSNet package. To install the bionetdata package, type install.packages("bionetdata") or follow the instruction for the manual installation above.