| A review on compound-protein interaction prediction methods: data, format, representation and model S Lim, Y Lu, CY Cho, I Sung, J Kim, Y Kim, S Park, S Kim Computational and Structural Biotechnology Journal 19, 1541-1556, 2021 | 74 | 2021 |
| Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations M Oh, S Park, S Kim, H Chae Briefings in bioinformatics 22 (1), 66-76, 2021 | 37 | 2021 |
| DRIM: a web-based system for investigating drug response at the molecular level by condition-specific multi-omics data integration M Oh, S Park, S Lee, D Lee, S Lim, D Jeong, K Jo, I Jung, S Kim Frontiers in Genetics 11, 564792, 2020 | 12 | 2020 |
| A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side S Park, M Kim, S Seo, S Hong, K Han, K Lee, JH Cheon, S Kim BMC genomics 20, 163-174, 2019 | 4 | 2019 |
| Machine learning-based proteomics reveals ferroptosis in COPD patient-derived airway epithelial cells upon smoking exposure JK Yoon, S Park, KH Lee, D Jeong, J Woo, J Park, SM Yi, D Han, CG Yoo, ... Journal of Korean Medical Science 38 (29), 2023 | 3 | 2023 |
| Ensdti-kinase: web-server for predicting kinase-inhibitor interactions with ensemble computational methods and its applications Y Lu, S Lim, S Park, MG Choi, C Cho, S Kang, S Kim bioRxiv, 2023.01. 06.523052, 2023 | 1 | 2023 |
| BioVLAB-Cancer-Pharmacogenomics: tumor heterogeneity and pharmacogenomics analysis of multi-omics data from tumor on the cloud S Park, D Lee, Y Kim, S Lim, H Chae, S Kim Bioinformatics 38 (1), 275-277, 2022 | 1 | 2022 |
| Dual Representation Learning for Predicting Drug-side Effect Frequency using Protein Target Information S Park, S Lee, M Pak, S Kim IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
