Sangseon Lee
Orcid: 0000-0002-7398-9580
According to our database1,
Sangseon Lee authored at least 26 papers
between 2016 and 2026.
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Bibliography
2026
AIM-DDI: A Model-Agnostic Multimodal Integration Module for Drug-Drug Interaction Prediction.
CoRR, May, 2026
IEEE Trans. Comput. Biol. Bioinform., 2026
EnsDTI: Predicting Drug-Target Interaction With Mixture-of-Experts and Confidence Assessment.
IEEE Trans. Comput. Biol. Bioinform., 2026
2025
SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive.
CoRR, September, 2025
Dual Representation Learning for Predicting Drug-Side Effect Frequency Using Protein Target Information.
IEEE J. Biomed. Health Informatics, March, 2025
Transcriptome Transformer: improving patient survival prediction via multitask learning of transcriptomic and clinical features.
Briefings Bioinform., 2025
BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learning.
Briefings Bioinform., September, 2023
Improved drug response prediction by drug target data integration via network-based profiling.
Briefings Bioinform., March, 2023
2022
MLDEG: A Machine Learning Approach to Identify Differentially Expressed Genes Using Network Property and Network Propagation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning.
BMC Bioinform., 2022
Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Ranked k-Spectrum Kernel for Comparative and Evolutionary Comparison of Exons, Introns, and CpG Islands.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Bioinform., 2020
Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data.
Briefings Bioinform., 2020
2019
Venn-diaNet : venn diagram based network propagation analysis framework for comparing multiple biological experiments.
BMC Bioinform., 2019
Bioinform., 2019
2018
Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI.
BMC Syst. Biol., 2017
Flow maximization analysis of cell cycle pathway activation status in breast cancer subtypes.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017
2016
Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines.
BMC Syst. Biol., 2016