| Cancer subtype classification and modeling by pathway attention and propagation S Lee, S Lim, T Lee, I Sung, S Kim Bioinformatics 36 (12), 3818-3824, 2020 | 44 | 2020 |
| Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data S Lim, S Lee, I Jung, S Rhee, S Kim Briefings in bioinformatics 21 (1), 36-46, 2020 | 36 | 2020 |
| DNMT1 maintains metabolic fitness of adipocytes through acting as an epigenetic safeguard of mitochondrial dynamics YJ Park, S Lee, S Lim, H Nahmgoong, Y Ji, JY Huh, AA Alfadda, S Kim, ... Proceedings of the National Academy of Sciences 118 (11), e2021073118, 2021 | 31 | 2021 |
| Sparse structure learning via graph neural networks for inductive document classification Y Piao, S Lee, D Lee, S Kim Proceedings of the AAAI conference on artificial intelligence 36 (10), 11165 …, 2022 | 25 | 2022 |
| Venn-diaNet: venn diagram based network propagation analysis framework for comparing multiple biological experiments B Hur, D Kang, S Lee, JH Moon, G Lee, S Kim BMC bioinformatics 20, 1-12, 2019 | 25 | 2019 |
| MIDAS: mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data S Lee, Y Park, S Kim Methods 124, 13-24, 2017 | 19 | 2017 |
| Efficiency of methylated DNA immunoprecipitation bisulphite sequencing for whole-genome DNA methylation analysis HM Jeong, S Lee, H Chae, RN Kim, MJ Kwon, E Oh, YL Choi, S Kim, ... Epigenomics 8 (8), 1061-1077, 2016 | 19 | 2016 |
| PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI JH Moon, S Lim, K Jo, S Lee, S Seo, S Kim BMC systems biology 11, 1-13, 2017 | 18 | 2017 |
| Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines H Chae, S Lee, KP Nephew, S Kim BMC Systems Biology 10, 433-443, 2016 | 17 | 2016 |
| Learning cell-type-specific gene regulation mechanisms by multi-attention based deep learning with regulatory latent space M Kang, S Lee, D Lee, S Kim Frontiers in Genetics 11, 533285, 2020 | 15 | 2020 |
| Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers D Bang, S Lim, S Lee, S Kim Nature Communications 14 (1), 3570, 2023 | 14 | 2023 |
| 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 |
| SpliceHetero: an information theoretic approach for measuring spliceomic intratumor heterogeneity from bulk tumor RNA-seq M Kim, S Lee, S Lim, S Kim PLoS One 14 (10), e0223520, 2019 | 11 | 2019 |
| PRISM: methylation pattern-based, reference-free inference of subclonal makeup D Lee, S Lee, S Kim Bioinformatics 35 (14), i520-i529, 2019 | 11 | 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 |
| StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in arabidopsis D Kang, H Ahn, S Lee, CJ Lee, J Hur, W Jung, S Kim BMC genomics 20, 1-13, 2019 | 8* | 2019 |
| On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach S Lim, S Lee, Y Piao, MG Choi, D Bang, J Gu, S Kim Computational and Structural Biotechnology Journal 20, 4288-4304, 2022 | 7 | 2022 |
| 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 |
| BioVLAB-mCpG-SNP-EXPRESS: a system for multi-level and multi-perspective analysis and exploration of dna methylation, sequence variation (SNPs), and gene expression from multi … H Chae, S Lee, S Seo, D Jung, H Chang, KP Nephew, S Kim Methods 111, 64-71, 2016 | 5 | 2016 |
| 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 |
Sun KimProfessor, Seoul National University; President, Mogam Institute for BiomedicalVerifierad e-postadress på snu.ac.kr
