| Impact of mutations in DNA methylation modification genes on genome-wide methylation landscapes and downstream gene activations in pan-cancer CJ Lee, H Ahn, D Jeong, M Pak, JH Moon, S Kim BMC medical genomics 13, 1-14, 2020 | 30 | 2020 |
| Hepatic GSK3β-dependent CRY1 degradation contributes to diabetic hyperglycemia YY Kim, H Jang, G Lee, YG Jeon, JH Sohn, JS Han, WT Lee, J Park, ... Diabetes 71 (7), 1373-1387, 2022 | 10 | 2022 |
| Propanet: Time-varying condition-specific transcriptional network construction by network propagation H Ahn, K Jo, D Jeong, M Pak, J Hur, W Jung, S Kim Frontiers in plant science 10, 444086, 2019 | 10 | 2019 |
| Network propagation for the analysis of multi-omics data M Pak, D Jeong, JH Moon, H Ann, B Hur, S Lee, S Kim Recent Advances in Biological Network Analysis: Comparative Network Analysis …, 2021 | 9 | 2021 |
| Mldeg: A machine learning approach to identify differentially expressed genes using network property and network propagation JH Moon, S Lee, M Pak, B Hur, S Kim IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 5 | 2021 |
| Improved drug response prediction by drug target data integration via network-based profiling M Pak, S Lee, I Sung, B Koo, S Kim Briefings in Bioinformatics 24 (2), bbad034, 2023 | 4 | 2023 |
| AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning I Sung, S Lee, M Pak, Y Shin, S Kim BMC bioinformatics 23 (Suppl 3), 149, 2022 | 2 | 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 |
| AutoCoV: Tracking the Early spread of COVID-19 in Terms of the Spatial and Temporal Dynamics from Embedding Space by K-mer Based Deep Learning I Sung, S Lee, M Pak, Y Shin, S Kim | | |
