| Prediction of mRNA subcellular localization using deep recurrent neural networks Z Yan, E Lécuyer, M Blanchette Bioinformatics 35 (14), i333-i342, 2019 | 64 | 2019 |
| Dependency-tree based convolutional neural networks for aspect term extraction H Ye, Z Yan, Z Luo, W Chao Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 54 | 2017 |
| Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions Z Yan, WL Hamilton, M Blanchette Bioinformatics 36 (Supplement_1), i276-i284, 2020 | 37 | 2020 |
| Towards equilibrium molecular conformation generation with GFlowNets A Volokhova, M Koziarski, A Hernández-García, CH Liu, S Miret, P Lemos, ... arXiv preprint arXiv:2310.14782, 2023 | 3 | 2023 |
| PhyloGFN: Phylogenetic inference with generative flow networks M Zhou, Z Yan, E Layne, N Malkin, D Zhang, M Jain, M Blanchette, ... arXiv preprint arXiv:2310.08774, 2023 | 2 | 2023 |
| PhyloPGM: boosting regulatory function prediction accuracy using evolutionary information F Ahsan, Z Yan, D Precup, M Blanchette Bioinformatics 38 (Supplement_1), i299-i306, 2022 | 2 | 2022 |
| Neural representation and generation for RNA secondary structures Z Yan, WL Hamilton, M Blanchette arXiv preprint arXiv:2102.00925, 2021 | 2 | 2021 |
| Integrated pretraining with evolutionary information to improve RNA secondary structure prediction Z Yan, W Hamilton, M Blanchette bioRxiv, 2022.01. 27.478113, 2022 | 1 | 2022 |
| On the prediction of mRNA subcellular localization with machine learning Z Yan McGill University (Canada), 2019 | | 2019 |
