| Domain adaptation by using causal inference to predict invariant conditional distributions S Magliacane, T Van Ommen, T Claassen, S Bongers, P Versteeg, ... Advances in neural information processing systems 31, 2018 | 251 | 2018 |
| Methods for causal inference from gene perturbation experiments and validation N Meinshausen, A Hauser, JM Mooij, J Peters, P Versteeg, P Bühlmann Proceedings of the National Academy of Sciences 113 (27), 7361-7368, 2016 | 170 | 2016 |
| Causal transfer learning S Magliacane, T van Ommen, T Claassen, S Bongers, P Versteeg, ... arXiv preprint arXiv:1707.06422, 2017 | 14 | 2017 |
| Local constraint-based causal discovery under selection bias P Versteeg, J Mooij, C Zhang Conference on Causal Learning and Reasoning, 840-860, 2022 | 12 | 2022 |
| Boosting local causal discovery in high-dimensional expression data P Versteeg, JM Mooij 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 5 | 2019 |
| Validation of gene knock-out predictions in large-scale gene perturbation experiments P Versteeg, S Mukherjee, JM Mooij | | |
| Supplementary material for “Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions” S Magliacane, T van Ommen, T Claassen, S Bongers, P Versteeg, ... | | |
