| A graph neural network approach for molecule carcinogenicity prediction P Fradkin, A Young, L Atanackovic, B Frey, LJ Lee, B Wang Bioinformatics 38 (Supplement_1), i84-i91, 2022 | 10 | 2022 |
| ATP7B variant c.1934T > G p.Met645Arg causes Wilson disease by promoting exon 6 skipping D Merico, C Spickett, M O’Hara, B Kakaradov, AG Deshwar, P Fradkin, ... NPJ genomic medicine 5 (1), 16, 2020 | 8 | 2020 |
| ATP7B variant c. 1934T> G p D Merico, C Spickett, M O’Hara, B Kakaradov, AG Deshwar, P Fradkin Met645Arg causes Wilson disease by promoting exon 6, 2019 | 5 | 2019 |
| Robustness to adversarial gradients: A glimpse into the loss landscape of contrastive pre-training P Fradkin, L Atanackovic, MR Zhang First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 3 | 2022 |
| On the Scalability of GNNs for Molecular Graphs M Sypetkowski, F Wenkel, F Poursafaei, N Dickson, K Suri, P Fradkin, ... arXiv preprint arXiv:2404.11568, 2024 | | 2024 |
| Splicing Up Your Predictions with RNA Contrastive Learning P Fradkin, R Shi, B Wang, B Frey, LJ Lee arXiv preprint arXiv:2310.08738, 2023 | | 2023 |
| Energy-based Modelling for Single-cell Data Annotation T Liu, P Fradkin, L Atanackovic, LJ Lee Machine Learning in Computational Biology, 94-109, 2022 | | 2022 |
| Contrastive RNA Representation Learning Through Maximizing Mutual Information Between Splice Isoforms P Fradkin, R Shi, K Isaev, CF Harrigan, Q Morris, B Wang, B Frey, LJ Lee ICLR 2024 Workshop on Generative and Experimental Perspectives for …, 0 | | |
| Energy-based Modelling for Single-cell Data T Liu, P Fradkin, LALJ Lee | | |
