Dohoon Lee
Dohoon Lee
Computational Biologist at Bioinformatics Institute, Seoul National University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
PRISM: methylation pattern-based, reference-free inference of subclonal makeup
D Lee, S Lee, S Kim
Bioinformatics 35 (14), i520-i529, 2019
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
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
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
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
Knowledge-guided artificial intelligence technologies for decoding complex multiomics interactions in cells
D Lee, S Kim
Clinical and Experimental Pediatrics 65 (5), 239, 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
Evaluation and optimization of sequence-based gene regulatory deep learning models
AM Rafi, D Penzar, D Nogina, D Lee, ED Vaishnav, D Lee, N Kim, S Kim, ...
bioRxiv, 2023.04. 26.538471, 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
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
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
Network-Based Metric Space for Phenotypic Stratification of Samples Using Transcriptome Profiles
I Sung, D Lee, S Lee, S Kim
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