Sangseon Lee

Orcid: 0000-0002-7398-9580

According to our database1, Sangseon Lee authored at least 18 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2024
Improving out-of-distribution generalization in graphs via hierarchical semantic environments.
CoRR, 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

SPGP: Structure Prototype Guided Graph Pooling.
CoRR, 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

A probabilistic model for pathway-guided gene set selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Cancer subtype classification and modeling by pathway attention and propagation.
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

PRISM: methylation pattern-based, reference-free inference of subclonal makeup.
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


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