A neural named entity recognition and multi-type normalization tool for biomedical text mining D Kim, J Lee, CH So, H Jeon, M Jeong, Y Choi, W Yoon, M Sung, J Kang IEEE Access 7, 73729-73740, 2019 | 149 | 2019 |
Biomedical entity representations with synonym marginalization M Sung, H Jeon, J Lee, J Kang arXiv preprint arXiv:2005.00239, 2020 | 148 | 2020 |
Enhancing the interpretability of transcription factor binding site prediction using attention mechanism S Park, Y Koh, H Jeon, H Kim, Y Yeo, J Kang Scientific reports 10 (1), 13413, 2020 | 83 | 2020 |
ReSimNet: drug response similarity prediction using Siamese neural networks M Jeon, D Park, J Lee, H Jeon, M Ko, S Kim, Y Choi, AC Tan, J Kang Bioinformatics 35 (24), 5249-5256, 2019 | 56 | 2019 |
Community assessment of the predictability of cancer protein and phosphoprotein levels from genomics and transcriptomics M Yang, F Petralia, Z Li, H Li, W Ma, X Song, S Kim, H Lee, H Yu, B Lee, ... Cell systems 11 (2), 186-195. e9, 2020 | 28 | 2020 |
Crowdsourced identification of multi-target kinase inhibitors for RET-and TAU-based disease: The Multi-Targeting Drug DREAM Challenge Z Xiong, M Jeon, RJ Allaway, J Kang, D Park, J Lee, H Jeon, M Ko, ... PLoS computational biology 17 (9), e1009302, 2021 | 11 | 2021 |