Sangseon Lee

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Structure Learning

Top Venues

Briefings Bioinform.

Publications

Yinhua Piao, Sangseon Lee, Yijingxiu Lu, Sun Kim
Improving out-of-distribution generalization in graphs via hierarchical semantic environments. CoRR (2024)
Minwoo Pak, Sangseon Lee, Inyoung Sung, Bonil Koo, Sun Kim
Improved drug response prediction by drug target data integration via network-based profiling. Briefings Bioinform. 24 (2) (2023)
Jeonghyeon Gu, Dongmin Bang, Jungseob Yi, Sangseon Lee, Dong Kyu Kim, Sun Kim
A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learning. Briefings Bioinform. 24 (5) (2023)
Jungwoo Kim, Sangsoo Lim, Sangseon Lee, Changyun Cho, Sun Kim
Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning. BigComp (2022)
Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. AAAI (2022)
Sangseon Lee, Dohoon Lee, Yinhua Piao, Sun Kim
SPGP: Structure Prototype Guided Graph Pooling. CoRR (2022)
Inyoung Sung, Sangseon Lee, Minwoo Pak, Yunyol Shin, Sun Kim
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. (3) (2022)
Ji Hwan Moon, Sangseon Lee, Minwoo Pak, Benjamin Hur, Sun Kim
MLDEG: A Machine Learning Approach to Identify Differentially Expressed Genes Using Network Property and Network Propagation. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Sangseon Lee, Taeheon Lee, Yung-Kyun Noh, Sun Kim
Ranked k-Spectrum Kernel for Comparative and Evolutionary Comparison of Exons, Introns, and CpG Islands. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. CoRR (2021)
Inyoung Kim, Sangseon Lee, Youngkuk Kim, Hugh Namkoong, Sun Kim
A probabilistic model for pathway-guided gene set selection. BIBM (2021)
Sangseon Lee, Sangsoo Lim, Taeheon Lee, Inyoung Sung, Sun Kim
Cancer subtype classification and modeling by pathway attention and propagation. Bioinform. 36 (12) (2020)
Sangsoo Lim, Sangseon Lee, Inuk Jung, SungMin Rhee, Sun Kim
Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data. Briefings Bioinform. 21 (1) (2020)
Benjamin Hur, Dongwon Kang, Sangseon Lee, Ji Hwan Moon, Gung Lee, Sun Kim
Venn-diaNet : venn diagram based network propagation analysis framework for comparing multiple biological experiments. BMC Bioinform. (23) (2019)
Do-Hoon Lee, Sangseon Lee, Sun Kim
PRISM: methylation pattern-based, reference-free inference of subclonal makeup. Bioinform. 35 (14) (2019)
Dongwon Kang, Hongryul Ahn, Sangseon Lee, Chai-Jin Lee, Jihye Hur, Woosuk Jung, Sun Kim
Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data. BIBM (2018)
Sangseon Lee, Ji Hwan Moon, Youngjune Park, Sun Kim
Flow maximization analysis of cell cycle pathway activation status in breast cancer subtypes. BigComp (2017)
Ji Hwan Moon, Sangsoo Lim, Kyuri Jo, Sangseon Lee, Seokjun Seo, Sun Kim
PINTnet: construction of condition-specific pathway interaction network by computing shortest paths on weighted PPI. BMC Syst. Biol. 11 (S-2) (2017)
Heejoon Chae, Sangseon Lee, Kenneth P. Nephew, Sun Kim
Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines. BMC Syst. Biol. 10 (4) (2016)