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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: | 0.9-1 |
Depends: | R (≥ 3.5.0), mixOmics, ggplot2, reticulate (≥ 1.14) |
Imports: | vegan, phyloseq, corrplot, psych, quadprog, LDRTools, Matrix, methods, markdown |
Suggests: | rmarkdown, knitr |
Published: | 2024-01-27 |
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 |
Reference manual: | mixKernel.pdf |
Vignettes: |
Installation instruction Integrative exploratory analysis with mixKernel |
Package source: | mixKernel_0.9-1.tar.gz |
Windows binaries: | r-devel: mixKernel_0.9-1.zip, r-release: mixKernel_0.9-1.zip, r-oldrel: mixKernel_0.9-1.zip |
macOS binaries: | r-release (arm64): mixKernel_0.9-1.tgz, r-oldrel (arm64): mixKernel_0.9-1.tgz, r-release (x86_64): mixKernel_0.9-1.tgz, r-oldrel (x86_64): mixKernel_0.9-1.tgz |
Old sources: | mixKernel archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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