Meys J, Stock M (2020). xnet: Two-Step Kernel Ridge Regression for Network Predictions. doi:10.32614/CRAN.package.xnet, R package version 0.1.11, https://CRAN.R-project.org/package=xnet.

For reference to the methods from this package, use:

Stock M, Pahikkala T, Airola A, Waegeman W, de Baets B (2018). “Algebraic shortcuts for leave-one-out crossvalidation in supervised network inference.” Briefings in Bioinformatic, bby095. doi:10.1093/bib/bby095.

Stock M, Pahikkala T, Airola A, de Baets B, Waegeman W (2018). “A comparative study of pairwise learning methods based on Kernel Ridge Regression.” Neural Computation, 30(8), 2245-2283. doi:10.1162/neco_a_01096.

Corresponding BibTeX entries:

  @Manual{,
    title = {xnet: Two-Step Kernel Ridge Regression for Network
      Predictions},
    author = {Joris Meys and Michiel Stock},
    year = {2020},
    note = {R package version 0.1.11},
    url = {https://CRAN.R-project.org/package=xnet},
    doi = {10.32614/CRAN.package.xnet},
  }

  @Article{,
    title = {Algebraic shortcuts for leave-one-out crossvalidation in
      supervised network inference.},
    author = {Michiel Stock and Tapio Pahikkala and Antti Airola and
      Willem Waegeman and Bernard {de Baets}},
    journal = {Briefings in Bioinformatic},
    year = {2018},
    pages = {bby095},
    doi = {10.1093/bib/bby095},
  }

  @Article{,
    title = {A comparative study of pairwise learning methods based on
      Kernel Ridge Regression},
    author = {Michiel Stock and Tapio Pahikkala and Antti Airola and
      Bernard {de Baets} and Willem Waegeman},
    journal = {Neural Computation},
    year = {2018},
    volume = {30},
    number = {8},
    pages = {2245-2283},
    doi = {10.1162/neco_a_01096},
  }