| Scalable multiple network inference with the joint graphical horseshoe C Lingjærde, BP Fairfax, S Richardson, H Ruffieux arXiv preprint arXiv:2206.11820, 2022 | 8 | 2022 |
| The how matters: simulation-based assessment of the potential contributions of lateral flow device tests for keeping schools open and COVID-safe in England K Kunzmann, C Lingjaerde, S Bird, S Richardson Harvard Data Science Review 4 (1), 2022 | 8* | 2022 |
| Tailored graphical lasso for data integration in gene network reconstruction C Lingjærde, TG Lien, Ø Borgan, H Bergholtz, IK Glad BMC bioinformatics 22, 1-22, 2021 | 3 | 2021 |
| Influence of single observations on the choice of the penalty parameter in ridge regression KH Hellton, C Lingjærde, R De Bin arXiv preprint arXiv:1911.03662, 2019 | 3 | 2019 |
| StabJGL: a stability approach to sparsity and similarity selection in multiple network reconstruction C Lingjærde, S Richardson Bioinformatics Advances, vbad185, 2023 | 1 | 2023 |
| Joint Network Modeling of Omics Data for Understanding Complex Diseases C Lingjaerde | | 2024 |
