- 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:
- License:
GPL3 / GPL (>= 2)
- Recipe:
- package r-mixkernel¶
-
- Versions:
0.8-1
,0.8-0
,0.7-0
,0.6-0
,0.5-2
,0.5-1
,0.5-0
,0.4-2
,0.4-1
,0.8-1
,0.8-0
,0.7-0
,0.6-0
,0.5-2
,0.5-1
,0.5-0
,0.4-2
,0.4-1
,0.4-0
,0.3-1
,0.3-0
- Depends:
r-base
>=4.2,<4.3.0a0
r-reticulate
>=1.14
- Required By:
Installation
With an activated Bioconda channel (see 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/r-mixkernel/README.html)