To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("Rchemcpp")

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

Rchemcpp

 

Similarity measures for chemical compounds

Bioconductor version: Release (3.1)

The Rchemcpp package implements the marginalized graph kernel and extensions, Tanimoto kernels, graph kernels, pharmacophore and 3D kernels suggested for measuring the similarity of molecules.

Author: Michael Mahr, Guenter Klambauer

Maintainer: Guenter Klambauer <klambauer at bioinf.jku.at>

Citation (from within R, enter citation("Rchemcpp")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("Rchemcpp")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("Rchemcpp")

 

PDF R Script Rchemcpp
PDF   Reference Manual

Details

biocViews Bioinformatics, CellBasedAssays, Clustering, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization
Version 2.6.1
In Bioconductor since BioC 2.13 (R-3.0) (2 years)
License GPL (>= 2.1)
Depends R (>= 2.15.0)
Imports Rcpp (>= 0.11.1), methods, ChemmineR
LinkingTo Rcpp
Suggests apcluster, kernlab
SystemRequirements GNU make
Enhances
URL http://www.bioinf.jku.at/software/Rchemcpp
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source Rchemcpp_2.6.1.tar.gz
Windows Binary Rchemcpp_2.6.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) Rchemcpp_2.6.1.tgz
Mac OS X 10.9 (Mavericks) Rchemcpp_2.6.1.tgz
Subversion source (username/password: readonly)
GitHub source https://github.com/Bioconductor-mirror/Rchemcpp/tree/release-3.1
Package Short Url http://bioconductor.org/packages/Rchemcpp/
Package Downloads Report Download Stats

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