Package: mixKernel
Type: Package
Title: Omics Data Integration Using Kernel Methods
Version: 0.3
Date: 2018-11-26
Depends: R (>= 2.10), mixOmics, ggplot2
Imports: vegan, phyloseq, corrplot, psych, quadprog, LDRTools, Matrix,
        methods
Authors@R: c(
	person("Jerome", "Mariette", role = c("aut", "cre"), email="jerome.mariette@inra.fr"),
	person("Nathalie", "Villa-Vialaneix", role = c("aut"), email="nathalie.villa-vialaneix@inra.fr"))
Maintainer: Jerome Mariette <jerome.mariette@inra.fr>
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. 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>.
License: GPL (>= 2)
Repository: CRAN
Date/Publication: 2018-11-26 11:00:08 UTC
Packaged: 2018-11-26 10:51:43 UTC; jmariette
Author: Jerome Mariette [aut, cre],
  Nathalie Villa-Vialaneix [aut]
NeedsCompilation: no
LazyData: true
