| Super. FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data S Park, J Soh, H Lee BMC bioinformatics 22 (1), 269, 2021 | 16 | 2021 |
| HIDTI: integration of heterogeneous information to predict drug-target interactions J Soh, S Park, H Lee Scientific reports 12 (1), 3793, 2022 | 13 | 2022 |
| Meta-analysis of polymyositis and dermatomyositis microarray data reveals novel genetic biomarkers J Song, D Kim, J Hong, GW Kim, J Jung, S Park, HJ Park, JWJ Joo, ... Genes 10 (11), 864, 2019 | 7 | 2019 |
| A molecular generative model with genetic algorithm and tree search for cancer samples S Park, H Lee arXiv preprint arXiv:2112.08959, 2021 | 3 | 2021 |
| Molecular data representation based on gene embeddings for cancer drug response prediction S Park, H Lee Scientific Reports 13 (1), 21898, 2023 | 1 | 2023 |
| Integrated drug response prediction models pinpoint repurposed drugs with effectiveness against rhabdomyosarcoma B Baek, E Jang, S Park, SH Park, DR Williams, DW Jung, H Lee Plos one 19 (1), e0295629, 2024 | | 2024 |
Hyunju LeeGwangju Institute of Science and Technology在 gist.ac.kr 的电子邮件经过验证
Hyunju LeeGwangju Institute of Science and Technology在 gist.ac.kr 的电子邮件经过验证
Darren R WilliamsGwangju Institute of Science and Technology在 gist.ac.kr 的电子邮件经过验证