Package: mixKernel
Type: Package
Title: Omics Data Integration Using Kernel Methods
Version: 0.9
Date: 2023-09-17
Depends: R (>= 3.5.0), mixOmics, ggplot2, reticulate (>= 1.14)
Imports: vegan, phyloseq, corrplot, psych, quadprog, LDRTools, Matrix, methods, markdown
Suggests: rmarkdown, knitr
Authors@R: c(person("Nathalie", "Vialaneix", role = c("aut", "cre"), email="nathalie.vialaneix@inrae.fr"),
             person("Celine", "Brouard", role = c("aut"), email="celine.brouard@inrae.fr"),
             person("Remi", "Flamary", role = c("aut"), email="remi.flamary@polytechnique.edu"),
             person("Julien", "Henry", role = c("aut"), email="julien.henry@inrae.fr"),
             person("Jerome", "Mariette", role = c("aut"), email="jerome.mariette@inrae.fr"))
Maintainer: Nathalie Vialaneix <nathalie.vialaneix@inrae.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 
    <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>.
License: GPL (>= 2)
Repository: CRAN
BugReports: https://forgemia.inra.fr/genotoul-bioinfo/mixKernel/-/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
URL: http://mixkernel.clementine.wf
LazyData: true
Config/reticulate:
  list(
    packages = list(
      list(package = "autograd", pip = TRUE),
      list(package = "numpy", pip = TRUE),
      list(package = "scipy", pip = TRUE),
      list(package = "sklearn", pip = TRUE)
    )
  )
RoxygenNote: 7.2.3