OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer

Anni S. Halkola, Kaisa Joki, Tuomas Mirtti, Marko M. Mäkelä, Tero Aittokallio, Teemu D. Laajala. OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer. PLoS Computational Biology, 19(3), March 2023. [doi]

@article{HalkolaJMMAL23,
  title = {OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer},
  author = {Anni S. Halkola and Kaisa Joki and Tuomas Mirtti and Marko M. Mäkelä and Tero Aittokallio and Teemu D. Laajala},
  year = {2023},
  month = {March},
  doi = {10.1371/journal.pcbi.1010333},
  url = {https://doi.org/10.1371/journal.pcbi.1010333},
  researchr = {https://researchr.org/publication/HalkolaJMMAL23},
  cites = {0},
  citedby = {0},
  journal = {PLoS Computational Biology},
  volume = {19},
  number = {3},
}