| RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance J Choi, S Park, J Ahn Scientific reports 10 (1), 1861, 2020 | 50 | 2020 |
| Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions S Seo, J Choi, S Park, J Ahn BMC bioinformatics 22, 1-15, 2021 | 47 | 2021 |
| Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers J Choi, S Park, Y Yoon, J Ahn Bioinformatics 33 (22), 3619-3626, 2017 | 42 | 2017 |
| G2Vec: Distributed gene representations for identification of cancer prognostic genes J Choi, I Oh, S Seo, J Ahn Scientific reports 8 (1), 13729, 2018 | 34 | 2018 |
| Prediction of GPCR-ligand binding using machine learning algorithms S Seo, J Choi, SK Ahn, KW Kim, J Kim, J Choi, J Kim, J Ahn Computational and mathematical methods in medicine 2018, 2018 | 23 | 2018 |
| Intrahepatic inflammatory IgA+ PD-L1high monocytes in hepatocellular carcinoma development and immunotherapy PS Sung, DJ Park, PR Roh, K Do Mun, SW Cho, GW Lee, ES Jung, ... Journal for Immunotherapy of Cancer 10 (5), 2022 | 17 | 2022 |
| GVES: machine learning model for identification of prognostic genes with a small dataset S Ko, J Choi, J Ahn Scientific Reports 11 (1), 439, 2021 | 15 | 2021 |
| Improved prediction of cancer outcome using graph-embedded generative adversarial networks C Park, I Oh, J Choi, S Ko, J Ahn IEEE Access 9, 20076-20088, 2021 | 9 | 2021 |
| DeepGate: Global-local decomposition for multivariate time series modeling J Park, C Park, J Choi, S Park Information sciences 590, 158-178, 2022 | 6 | 2022 |
| COMA: efficient structure-constrained molecular generation using contractive and margin losses J Choi, S Seo, S Park Journal of Cheminformatics 15 (1), 8, 2023 | 3 | 2023 |
| K2vtune: Automatic Database Tuning with Knob Vector Representation J Lee, J Choi, S Seo, S Park Available at SSRN 4225456, 2022 | 3 | 2022 |
| Improvement of RocksDB Performance via Large-Scale Parameter Analysis and Optimization H Jin, WG Choi, J Choi, H Sung, S Park Journal of Information Processing Systems 18 (3), 374-388, 2022 | 2 | 2022 |
| SELF-EdiT: Structure-constrained molecular optimisation using SELFIES editing transformer S Piao, J Choi, S Seo, S Park Applied Intelligence 53 (21), 25868-25880, 2023 | 1 | 2023 |
| ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training J Choi, S Seo, S Choi, S Piao, C Park, SJ Ryu, BJ Kim, S Park Computers in Biology and Medicine 157, 106721, 2023 | 1 | 2023 |
| Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation J Park, J Ahn, J Choi, J Kim arXiv preprint arXiv:2403.20109, 2024 | | 2024 |
| K2vTune: A workload-aware configuration tuning for RocksDB J Lee, S Seo, J Choi, S Park Information Processing & Management 61 (1), 103567, 2024 | | 2024 |
| Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism S Seo, J Choi, S Choi, J Lee, C Park, S Park Engineering Applications of Artificial Intelligence 127, 107257, 2024 | | 2024 |
| De Novo Drug Design Using Self-Attention Based Variational Autoencoder S Piao, J Choi, S Seo, K Kim, S Park KIPS Transactions on Software and Data Engineering 11 (1), 11-18, 2022 | | 2022 |
| MolBit: De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem J Choi, S Seo, J Park, S Park 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | | 2021 |
| Self-Attention-based SMILES Generationfor De Novo Drug Design S PIAO, J Choi, K Kim, S Park Proceedings of the Korea Information Processing Society Conference, 343-346, 2021 | | 2021 |
