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Bioinformatics (Oxford, England)
|
September 13, 2019
PRISM: methylation pattern-based, reference-free inference of subclonal makeup
Dohoon Lee, Sangseon Lee, Sun Kim
Methods (San Diego, Calif.)
|
June 6, 2017
MIDAS: Mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data
Sangseon Lee, Youngjune Park, Sun Kim
Nature Communications
|
December 28, 2025
Multi-omic relay velocity modeling uncovers dynamic chromatin-transcription regulation across cell states
Ari Hong, Sangseon Lee, Kwangsoo Kim
Plos One
|
October 24, 2019
SpliceHetero: An information theoretic approach for measuring spliceomic intratumor heterogeneity from bulk tumor RNA-seq
Minsu Kim, Sangseon Lee, Sangsoo Lim, et al.
NPJ Precision Oncology
|
May 20, 2026
Deep learning for predicting patient drug response by transferring gene-level and cell-level knowledge to tumors
Inyoung Sung, Dongmin Bang, Sun Kim, et al.
Scientific Reports
|
May 6, 2021
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space
Taeheon Lee, Sangseon Lee, Minji Kang, et al.
Nature Communications
|
June 15, 2023
Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
Dongmin Bang, Sangsoo Lim, Sangseon Lee, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
August 14, 2025
Context-Aware Hierarchical Fusion for Drug Relational Learning
Yijingxiu Lu, Yinhua Piao, Sangseon Lee, et al.
Frontiers in Genetics
|
November 2, 2020
Learning Cell-Type-Specific Gene Regulation Mechanisms by Multi-Attention Based Deep Learning With Regulatory Latent Space
Minji Kang, Sangseon Lee, Dohoon Lee, et al.
Briefings in Bioinformatics
|
November 25, 2025
Transcriptome Transformer: improving patient survival prediction via multitask learning of transcriptomic and clinical features
Bonil Koo, Inyoung Sung, Sangseon Lee, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 38) with videos related to
Sort By:
Page
of 4
Bioinformatics (Oxford, England)
|
September 13, 2019
PRISM: methylation pattern-based, reference-free inference of subclonal makeup
Dohoon Lee, Sangseon Lee, Sun Kim
Methods (San Diego, Calif.)
|
June 6, 2017
MIDAS: Mining differentially activated subpaths of KEGG pathways from multi-class RNA-seq data
Sangseon Lee, Youngjune Park, Sun Kim
Nature Communications
|
December 28, 2025
Multi-omic relay velocity modeling uncovers dynamic chromatin-transcription regulation across cell states
Ari Hong, Sangseon Lee, Kwangsoo Kim
Plos One
|
October 24, 2019
SpliceHetero: An information theoretic approach for measuring spliceomic intratumor heterogeneity from bulk tumor RNA-seq
Minsu Kim, Sangseon Lee, Sangsoo Lim, et al.
NPJ Precision Oncology
|
May 20, 2026
Deep learning for predicting patient drug response by transferring gene-level and cell-level knowledge to tumors
Inyoung Sung, Dongmin Bang, Sun Kim, et al.
Scientific Reports
|
May 6, 2021
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space
Taeheon Lee, Sangseon Lee, Minji Kang, et al.
Nature Communications
|
June 15, 2023
Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
Dongmin Bang, Sangsoo Lim, Sangseon Lee, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
August 14, 2025
Context-Aware Hierarchical Fusion for Drug Relational Learning
Yijingxiu Lu, Yinhua Piao, Sangseon Lee, et al.
Frontiers in Genetics
|
November 2, 2020
Learning Cell-Type-Specific Gene Regulation Mechanisms by Multi-Attention Based Deep Learning With Regulatory Latent Space
Minji Kang, Sangseon Lee, Dohoon Lee, et al.
Briefings in Bioinformatics
|
November 25, 2025
Transcriptome Transformer: improving patient survival prediction via multitask learning of transcriptomic and clinical features
Bonil Koo, Inyoung Sung, Sangseon Lee, et al.
Page
of 4