| Learning the histone codes with large genomic windows and three-dimensional chromatin interactions using transformer D Lee, J Yang, S Kim Nature Communications 13 (1), 6678, 2022 | 33 | 2022 |
| Towards multi-omics characterization of tumor heterogeneity: a comprehensive review of statistical and machine learning approaches D Lee, Y Park, S Kim Briefings in bioinformatics 22 (3), bbaa188, 2021 | 30 | 2021 |
| Targeted erasure of DNA methylation by TET3 drives adipogenic reprogramming and differentiation J Park, DH Lee, S Ham, J Oh, JR Noh, YK Lee, YJ Park, G Lee, SM Han, ... Nature Metabolism 4 (7), 918-931, 2022 | 18 | 2022 |
| 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 | 17 | 2020 |
| 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, 869, 2020 | 17 | 2020 |
| PRISM: methylation pattern-based, reference-free inference of subclonal makeup D Lee, S Lee, S Kim Bioinformatics 35 (14), i520-i529, 2019 | 13 | 2019 |
| Metheor: Ultrafast DNA methylation heterogeneity calculation from bisulfite read alignments D Lee, B Koo, J Yang, S Kim PLOS Computational Biology 19 (3), e1010946, 2023 | 9 | 2023 |
| Inferring transcriptomic cell states and transitions only from time series transcriptome data K Jo, I Sung, D Lee, H Jang, S Kim Scientific Reports 11 (1), 12566, 2021 | 9 | 2021 |
| Single-cell transcriptome analyses reveal distinct gene expression signatures of severe COVID-19 in the presence of clonal hematopoiesis B Choi, CK Kang, S Park, D Lee, AJ Lee, Y Ko, SJ Kang, K Kang, S Kim, ... Experimental & molecular medicine 54 (10), 1756-1765, 2022 | 8 | 2022 |
| Knowledge-guided artificial intelligence technologies for decoding complex multiomics interactions in cells D Lee, S Kim Clinical and Experimental Pediatrics 65 (5), 239, 2021 | 6 | 2021 |
| Disco: Diffusion Schrödinger bridge for molecular conformer optimization D Lee, D Lee, D Bang, S Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13365 …, 2024 | 4 | 2024 |
| Evaluation and optimization of sequence-based gene regulatory deep learning models AM Rafi, D Nogina, D Penzar, D Lee, D Lee, N Kim, S Kim, D Kim, Y Shin, ... bioRxiv, 2023.04. 26.538471, 2024 | 3 | 2024 |
| Multi-layered knowledge graph neural network reveals pathway-level agreement of three breast cancer multi-gene assays S Lee, J Park, Y Piao, D Lee, D Lee, S Kim Computational and Structural Biotechnology Journal 23, 1715-1724, 2024 | 1 | 2024 |
| A community effort to optimize sequence-based deep learning models of gene regulation AM Rafi, D Nogina, D Penzar, D Lee, D Lee, N Kim, S Kim, D Kim, Y Shin, ... Nature biotechnology, 1-11, 2024 | 1 | 2024 |
| Human immunodeficiency virus-1 induces and targets host genomic R-loops for viral genome integration K Park, D Lee, J Jeong, S Lee, S Kim, K Ahn eLife 13, 2024 | 1 | 2024 |
| Characterization of radiation-resistance mechanism in Spirosoma montaniterrae DY10T in terms of transcriptional regulatory system C Cho, D Lee, D Jeong, S Kim, MK Kim, S Srinivasan Scientific Reports 13 (1), 4739, 2023 | 1 | 2023 |
| AMLs harboring DNMT3A-destabilizing variants show increased intratumor DNA methylation heterogeneity at bivalent chromatin domains D Lee, B Koo, SH Kim, J Byun, J Hong, DY Shin, CH Sun, JJ Song, J Kim, ... bioRxiv, 2023.02. 13.528223, 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 |
| Accurate antibody loop structure prediction enables zero-shot design of target-specific antibodies Y Bang, YA Choi, J Gu, S Kwon, D Lee, ES Lee, MS Lee, S Lee, S Lee, ... bioRxiv, 2024.08. 23.609114, 2024 | | 2024 |
| Lysosome Dysfunction Contributes to Myeloproliferative Neoplasm Development Via Oncostatin-M Dependent Inflammation H Yoon, S Song, D Lee, B Koo, J Park, TK Kim, S Kim, Y Koh, SS Yoon Blood 140 (Supplement 1), 12183-12184, 2022 | | 2022 |
Sun KimProfessor, Seoul National University; CTO, AIGENDRUG Co. Ltd.snu.ac.kr의 이메일 확인됨
