recipe r-mixkernel

Kernel-based methods are powerful methods for integrating heterogeneous types of data. mixKernel aims at providing methods to combine kernel for unsupervised exploratory analysis. Different solutions are provided to compute a meta-kernel, in a consensus way or in a way that best preserves the original topology of the data. mixKernel also integrates kernel PCA to visualize similarities between samples in a non linear space and from the multiple source point of view. Functions to assess and display important variables are also provided in the package. Jerome Mariette and Nathalie Villa-Vialaneix (2017) <doi:10.1093/bioinformatics/btx682>.

Homepage

https://CRAN.R-project.org/package=mixKernel

License

GPL3 / GPL (>= 2)

Recipe

/r-mixkernel/meta.yaml

package r-mixkernel

(downloads) docker_r-mixkernel

Versions

0.3-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-mixkernel

and update with:

conda update r-mixkernel

or use the docker container:

docker pull quay.io/biocontainers/r-mixkernel:<tag>

(see r-mixkernel/tags for valid values for <tag>)