CRAN
mixKernel 0.3
Omics Data Integration Using Kernel Methods
Released Nov 26, 2018 by Jerome Mariette
Dependencies
mixOmics 6.3.2 ggplot2 3.1.0 LDRTools 0.2-1 corrplot 0.84 quadprog 1.5-5 psych 1.8.10 vegan 2.5-3 Matrix 1.2-15
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)