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.
Bioconductor version: 2.14
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("Rchemcpp")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Rchemcpp")
R Script | Rchemcpp | |
Reference Manual |
biocViews | Bioinformatics, CellBasedAssays, Clustering, DataImport, Infrastructure, MicrotitrePlateAssay, Proteomics, Software, Visualization |
Version | 2.2.0 |
In Bioconductor since | BioC 2.13 (R-3.0) |
License | GPL (>= 2.1) |
Depends | R (>= 2.15.0) |
Imports | Rcpp (>= 0.11.1), methods, ChemmineR |
Suggests | apcluster, kernlab |
System Requirements | |
URL | http://www.bioinf.jku.at/software/Rchemcpp |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | Rchemcpp_2.2.0.tar.gz |
Windows Binary | Rchemcpp_2.2.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | Rchemcpp_2.2.0.tgz |
Mac OS X 10.9 (Mavericks) | |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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