| Embeddings of genomic region sets capture rich biological associations in lower dimensions E Gharavi, A Gu, G Zheng, JP Smith, HJ Cho, A Zhang, DE Brown, ... Bioinformatics 37 (23), 4299-4306, 2021 | 13 | 2021 |
| Interpretable meta-learning of multi-omics data for survival analysis and pathway enrichment HJ Cho, M Shu, S Bekiranov, C Zang, A Zhang Bioinformatics 39 (4), btad113, 2023 | 9 | 2023 |
| Bedshift: perturbation of genomic interval sets A Gu, HJ Cho, NC Sheffield Genome Biology 22 (1), 1-14, 2021 | 8 | 2021 |
| Towards automated safety coverage and testing for autonomous vehicles with reinforcement learning HJ Cho, M Behl arXiv preprint arXiv:2005.13976, 2020 | 4 | 2020 |
| DARDN: A deep-learning approach for CTCF binding sequence classification and oncogenic regulatory feature discovery HJ Cho, Z Wang, Y Cong, S Bekiranov, A Zhang, C Zang Genes 15 (2), 2024 | | 2024 |
| Generating Synthetic Single Cell Data from Bulk RNA-seq Using a Pretrained Variational Autoencoder HJ Cho, E Xie, A Zhang, S Bekiranov bioRxiv, 2024.05. 18.594837, 2024 | | 2024 |
| Knowledge-guided meta learning for disease prediction Q Suo, HJ Cho, J Chou, S Bekiranov, C Zang, A Zhang Meta Learning With Medical Imaging and Health Informatics Applications, 253-273, 2023 | | 2023 |
