Dohoon Lee

Contact

dohlee.bioinfo@gmail.com

International Papers

  • Lee D, Lee D, Bang D, Kim S. DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization. AAAI 2024. 2024
  • Yang J, Lee D, Koo B, Jeong D, Kim S. Deep learning-based survival prediction using DNA methylation-derived 3D genomic information. 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2023). 2023 Nov 5.
  • AM Rafi, D Penzar, D Nogina, D Lee, ED Vaishnav, D Lee, N Kim, S Kim, G Meshcheryakov, A Lando, P Yadollahpour, A Zinkevich, D Kim, Y Shin, IY Kwak, BC Kim, J Lee, Random Promoter DREAM Challenge Consortium, S Kim, A Regev, J Albrecht, W Gong, IV Kulakovskiy, P Meyer & CG de Boer. Evaluation and optimization of sequence-based gene regulatory deep learning models. bioRxiv. 2023 Apr 28.
  • C Cho, D Lee, D Jeong, S Kim, MK Kim & S Srinivasan. Characterization of radiation-resistance mechanism in Spirosoma montaniterrae DY10T in terms of transcriptional regulatory system. Scientific Reports 13.1 (2023): 4739. 2023 Mar 23.
  • Lee D, Koo B, Yang J, Kim S. Metheor: Ultrafast DNA methylation heterogeneity calculation from bisulfite read alignments. PLOS Computational Biology. 2023 Mar 20.
  • Lee D, Koo B, Kim S, Byun J, Hong J, Shin D, Sun C, Song J, Kim J, Jaiswal S, Yoon S, Kim S, Koh Y. AMLs harboring DNMT3A-destabilizing variants show increased intratumor DNA methylation heterogeneity at bivalent chromatin domains. bioRxiv. 2023 Feb 14.
  • Lee S, Lee D, Piao Y, Kim S. SPGP: Structure Prototype Guided Graph Pooling. NeurIPS 2022 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2022), 2022 Dec 2.
  • Choi B, Kang CK, Park S, Lee D, Lee AJ, Ko Y, Kang SJ, Kang K, Koh Y, Jung I. Single-cell transcriptome analyses reveal distinct gene expression signatures of severe COVID-19 in the presence of clonal hematopoiesis. Experimental & Molecular Medicine (EMM). 2022 Oct 13.
  • Koo B, Lee D, Lee S, Sung I, Kim S, Lee S. Risk Stratification for Breast Cancer Patient by Simultaneous Learning of Molecular Subtype and Survival Outcome Using Genetic Algorithm-Based Gene Set Selection. Cancers. [From The 10th International Conference on Intelligent Biology and Medicine (ICIBM 2022)]. 2022 Aug 25.
  • Piao Y, Lee S, Lee D, Kim S. Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. AAAI 2022. 2022 Feb 22.
  • Lee D, Kim S. Knowledge-guided artificial intelligence technologies for decoding complex multiomics interactions in cells. Clinical and Experimental Pediatrics. 2021 Nov 26. Online ahead of print.
  • Park S, Lee D, Kim Y, Lim S, Chae H, Kim S. BioVLAB-Cancer-Pharmacogenomics: Tumor Heterogeneity and Pharmacogenomics Analysis of Multi-omics Data from Tumor on the Cloud. Bioinformatics. 2021 June 29.
  • Jo K, Sung I, Lee D, Jang H, Kim S. Inferring transcriptomic cell states and transitions only from time series transcriptome data. Scientific Reports 11 (1), 1-13. 2021 June 15.
  • Oh M, Park S, Lee S, Lee D, Lim S, Jeong D, Jo K, Jung I, Kim S. DRIM: A web-based system for investigating drug response at the molecular level by condition-specific multi-omics data integration. Frontiers in Genetics. 2020 Nov 12.
  • Kang M, Lee S, Lee D, Kim S. Learning Cell-Type-Specific Gene Regulation Mechanisms by Multi-Attention Based Deep Learning with Regulatory Latent Space. Frontiers in Genetics, 2020 Sep 30.
  • Lee D, Park Y, Kim S. Towards multi-omics characterization of tumor heterogeneity: a comprehensive review of statistical and machine learning approaches. Briefings in Bioinformatics, 2020 Aug 25.
  • Lee D, Lee S, Kim S. PRISM: Methylation Pattern-based, Reference-free Inference of Subclonal Makeup. Bioinformatics, 2019 Jul 5. [From The 27th Intelligent Systems for Molecular Biology (ISMB)]