Sangseon Lee

Assistant Professor

Inha University

South Korea

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Dr. Sangseon Lee is an Assistant Professor at Inha University in South Korea. His research focuses on drug response prediction, drug repurposing, and the application of knowledge graphs in biomedical contexts. Recent articles authored by him include work on predicting drug-side effect frequencies and exploring chemical spaces for lead identification. He is dedicated to advancing computational approaches in pharmacology and cancer research.

Articles (10)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

Year:

2022

Collaborators (2)

Sun Kim

Seoul National University

SOUTH KOREA

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Yinhua Piao

Seoul National University

SOUTH KOREA

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Sangseon Lee

Research Interests

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Articles (10)

MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic level

Dual Representation Learning for Predicting Drug-side Effect Frequency using Protein Target Information

Multi-layered knowledge graph neural network reveals pathway-level agreement of three breast cancer multi-gene assays

ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillation

A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug–drug interaction data and supervised contrastive learning

Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers

Improved drug response prediction by drug target data integration via network-based profiling

Exploring chemical space for lead identification by propagating on chemical similarity network

Risk Stratification for Breast Cancer Patient by Simultaneous Learning of Molecular Subtype and Survival Outcome Using Genetic Algorithm-Based Gene Set Selection

MLDEG: A Machine Learning Approach to Identify Differentially Expressed Genes Using Network Property and Network Propagation

Collaborators (2)

Sun Kim

Yinhua Piao

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