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mixKernel: Omics Data Integration Using Kernel Methods

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 <doi:10.1093/bioinformatics/btx682>. A method to select (as well as funtions to display) important variables is also provided <doi:10.1093/nargab/lqac014>.

Version:0.9-2
Depends:R (≥ 3.5.0),mixOmics,ggplot2,reticulate (≥ 1.14)
Imports:vegan,phyloseq,corrplot,psych,quadprog,LDRTools,Matrix, methods,markdown
Suggests:rmarkdown,knitr
Published:2025-04-19
DOI:10.32614/CRAN.package.mixKernel
Author:Nathalie Vialaneix [aut, cre], Celine Brouard [aut], Remi Flamary [aut], Julien Henry [aut], Jerome Mariette [aut]
Maintainer:Nathalie Vialaneix <nathalie.vialaneix at inrae.fr>
BugReports:https://forgemia.inra.fr/genotoul-bioinfo/mixKernel/-/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:http://mixkernel.clementine.wf
NeedsCompilation:no
Citation:mixKernel citation info
Materials:NEWS
CRAN checks:mixKernel results

Documentation:

Reference manual:mixKernel.html ,mixKernel.pdf
Vignettes:Installation instruction (source,R code)
Integrative exploratory analysis with mixKernel (source,R code)

Downloads:

Package source: mixKernel_0.9-2.tar.gz
Windows binaries: r-devel:mixKernel_0.9-2.zip, r-release:mixKernel_0.9-2.zip, r-oldrel:mixKernel_0.9-2.zip
macOS binaries: r-release (arm64):mixKernel_0.9-2.tgz, r-oldrel (arm64):mixKernel_0.9-2.tgz, r-release (x86_64):mixKernel_0.9-2.tgz, r-oldrel (x86_64):mixKernel_0.9-2.tgz
Old sources: mixKernel archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=mixKernelto link to this page.


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