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Methods (San Diego, Calif.)|June 6, 2017
MIDAS: Mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq dataSangseon Lee, Youngjune Park, Sun Kim
Bioinformatics (Oxford, England)|July 15, 2025
ADME-drug-likeness: enriching molecular foundation models via pharmacokinetics-guided multi-task learning for drug-likeness predictionDongmin Bang, Juyeon Kim, Haerin Song, et al.
Scientific Reports|May 6, 2021
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric spaceTaeheon Lee, Sangseon Lee, Minji Kang, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Context-Aware Hierarchical Fusion for Drug Relational LearningYijingxiu Lu, Yinhua Piao, Sangseon Lee, et al.
Frontiers in Genetics|November 2, 2020
Learning Cell-Type-Specific Gene Regulation Mechanisms by Multi-Attention Based Deep Learning With Regulatory Latent SpaceMinji Kang, Sangseon Lee, Dohoon Lee, et al.
Briefings in Bioinformatics|November 25, 2025
Transcriptome Transformer: improving patient survival prediction via multitask learning of transcriptomic and clinical featuresBonil Koo, Inyoung Sung, Sangseon Lee, et al.
IEEE Transactions on Computational Biology and Bioinformatics|January 14, 2026
EnsDTI: Predicting Drug-Target Interaction with Mixture-of-Experts and Confidence AssessmentYijingxiu Lu, Soosung Kang, Sun Kim, et al.
IEEE Journal of Biomedical and Health Informatics|January 19, 2024
Dual Representation Learning for Predicting Drug-Side Effect Frequency Using Protein Target InformationSungjoon Park, Sangseon Lee, Minwoo Pak, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 9, 2019
Ranked k-Spectrum Kernel for Comparative and Evolutionary Comparison of Exons, Introns, and CpG IslandsSangseon Lee, Taeheon Lee, Yung-Kyun Noh, et al.
BMC Systems Biology|February 4, 2017
Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell linesHeejoon Chae, Sangseon Lee, Kenneth P Nephew, et al.
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