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mixKernel  

Omics Data Integration Using Kernel Methods
View on CRAN: Click here


Download and install mixKernel package within the R console
Install from CRAN:
install.packages("mixKernel")

Install from Github:
library("remotes")
install_github("cran/mixKernel")

Install by package version:
library("remotes")
install_version("mixKernel", "0.9-1")



Attach the package and use:
library("mixKernel")
Maintained by
Nathalie Vialaneix
[Scholar Profile | Author Map]
First Published: 2017-05-18
Latest Update: 2022-01-13
Description:
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 . A method to select (as well as funtions to display) important variables is also provided .
How to cite:
Nathalie Vialaneix (2017). mixKernel: Omics Data Integration Using Kernel Methods. R package version 0.9-1, https://cran.r-project.org/web/packages/mixKernel. Accessed 17 Mar. 2025.
Previous versions and publish date:
0.1 (2017-05-18 05:50), 0.2 (2018-09-11 16:50), 0.3 (2018-11-26 12:00), 0.4 (2020-02-26 13:50), 0.5 (2021-03-30 20:20), 0.6 (2021-05-17 11:40), 0.7 (2021-06-15 13:50), 0.8 (2022-01-13 17:22), 0.9 (2023-09-18 14:40)
Other packages that cited mixKernel R package
View mixKernel citation profile
Other R packages that mixKernel depends, imports, suggests or enhances
Complete documentation for mixKernel
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