Sangseon Lee
Seoul National University
H-index: 9
Asia-South Korea
Top articles of Sangseon Lee
Multi-layered knowledge graph neural network reveals pathway-level agreement of three breast cancer multi-gene assays
Computational and Structural Biotechnology Journal
2024/4/22
Improving out-of-distribution generalization in graphs via hierarchical semantic environments
arXiv preprint arXiv:2403.01773
2024/3/4
Sangseon Lee
H-Index: 6
Sun Kim
H-Index: 21
Dual Representation Learning for Predicting Drug-side Effect Frequency using Protein Target Information
IEEE Journal of Biomedical and Health Informatics
2024/1/5
A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug–drug interaction data and supervised contrastive learning
Briefings in Bioinformatics
2023/9
Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
Nature Communications
2023/6/15
Improved drug response prediction by drug target data integration via network-based profiling
Briefings in Bioinformatics
2023/3
Exploring chemical space for lead identification by propagating on chemical similarity network
Computational and Structural Biotechnology Journal
2023/1/1
Sangseon Lee
H-Index: 6
Sangsoo Lim
H-Index: 10
Dongkyu Kim
H-Index: 1
Sun Kim
H-Index: 21
Sunho Lee
H-Index: 6
Risk Stratification for Breast Cancer Patient by Simultaneous Learning of Molecular Subtype and Survival Outcome Using Genetic Algorithm-Based Gene Set Selection
Cancers
2022/8/25
Dohoon Lee
H-Index: 10
Sangseon Lee
H-Index: 6
Inyoung Sung
H-Index: 2
Sun Kim
H-Index: 21
Sunho Lee
H-Index: 6
Sparse structure learning via graph neural networks for inductive document classification
Proceedings of the AAAI conference on artificial intelligence
2022/6/28
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 bioinformatics
2022/4/25
Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning
2022/1/17
On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach
2022/1/1
Subnetwork representation learning for discovering network biomarkers in predicting lymph node metastasis in early oral cancer
Scientific reports
2021/12/14
A probabilistic model for pathway-guided gene set selection
2021/12/9
Network-Based Metric Space for Phenotypic Stratification of Samples Using Transcriptome Profiles
2021/8/26
Construction of condition-specific gene regulatory network using kernel canonical correlation analysis
Frontiers in Genetics
2021/5/20
Sangsoo Lim
H-Index: 10
Sangseon Lee
H-Index: 6
Minsik Oh
H-Index: 4
Woosuk Jung
H-Index: 3
Sun Kim
H-Index: 21
Deep hierarchical embedding for simultaneous modeling of gpcr proteins in a unified metric space
Scientific Reports
2021/5/5
Mldeg: A machine learning approach to identify differentially expressed genes using network property and network propagation
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2021/3/22
DNMT1 maintains metabolic fitness of adipocytes through acting as an epigenetic safeguard of mitochondrial dynamics
Proceedings of the National Academy of Sciences
2021/3/16
Network propagation for the analysis of multi-omics data
Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection
2021
