| 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 | 27 | 2021 |
| 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 |
| 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 | 14 | 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 | 12 | 2020 |
| 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 | 11 | 2022 |
| PRISM: methylation pattern-based, reference-free inference of subclonal makeup D Lee, S Lee, S Kim Bioinformatics 35 (14), i520-i529, 2019 | 11 | 2019 |
| 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| 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 | 5 | 2023 |
| 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 | 2 | 2023 |
| Knowledge-guided artificial intelligence technologies for decoding complex multiomics interactions in cells D Lee, S Kim Clinical and Experimental Pediatrics 65 (5), 239, 2022 | 2 | 2022 |
| 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 |
| 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 bioRxiv, 2024.03. 06.583715, 2024 | | 2024 |
| 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 | | 2023 |
| 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 |
| Learning the histone codes of gene regulation with large genomic windows and three-dimensional chromatin interactions using transformer D Lee, J Yang, S Kim bioRxiv, 2021.12. 30.472333, 2021 | | 2021 |
| Network-Based Metric Space for Phenotypic Stratification of Samples Using Transcriptome Profiles I Sung, D Lee, S Lee, S Kim | | 2021 |
Sun KimProfessor, Seoul National University; President, Mogam Institute for Biomedicalsnu.ac.kr의 이메일 확인됨
