IPF-LASSO: Integrative L\(^\mbox1\)-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data. Boulesteix, A., Bin, R. D., Jiang, X., & Fuchs, M. Comput. Math. Methods Medicine, 2017:7691937:1–7691937:14, 2017.
IPF-LASSO: Integrative L\(^\mbox1\)-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data [link]Paper  doi  bibtex   
@article{DBLP:journals/cmmm/BoulesteixBJF17,
  author    = {Anne{-}Laure Boulesteix and
               Riccardo De Bin and
               Xiaoyu Jiang and
               Mathias Fuchs},
  title     = {{IPF-LASSO:} Integrative L\({}^{\mbox{1}}\)-Penalized Regression with
               Penalty Factors for Prediction Based on Multi-Omics Data},
  journal   = {Comput. Math. Methods Medicine},
  volume    = {2017},
  pages     = {7691937:1--7691937:14},
  year      = {2017},
  url       = {https://doi.org/10.1155/2017/7691937},
  doi       = {10.1155/2017/7691937},
  timestamp = {Sat, 25 Apr 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/cmmm/BoulesteixBJF17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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