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Briefings in Bioinformatics|February 8, 2023
Improved drug response prediction by drug target data integration via network-based profilingMinwoo Pak, Sangseon Lee, Inyoung Sung, et al.
Briefings in Bioinformatics|November 25, 2025
Transcriptome Transformer: improving patient survival prediction via multitask learning of transcriptomic and clinical featuresBonil Koo, Inyoung Sung, Sangseon Lee, et al.
BMC Bioinformatics|April 26, 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 learningInyoung Sung, Sangseon Lee, Minwoo Pak, et al.
Cancers|September 9, 2022
Risk Stratification for Breast Cancer Patient by Simultaneous Learning of Molecular Subtype and Survival Outcome Using Genetic Algorithm-Based Gene Set SelectionBonil Koo, Dohoon Lee, Sangseon Lee, et al.
IEEE Journal of Biomedical and Health Informatics|January 19, 2024
Dual Representation Learning for Predicting Drug-Side Effect Frequency Using Protein Target InformationSungjoon Park, Sangseon Lee, Minwoo Pak, et al.
NPJ Precision Oncology|May 20, 2026
Deep learning for predicting patient drug response by transferring gene-level and cell-level knowledge to tumorsInyoung Sung, Dongmin Bang, Sun Kim, et al.
Frontiers in Genetics|October 7, 2024
DGDRP: drug-specific gene selection for drug response prediction via re-ranking through propagating and learning biological networkMinwoo Pak, Dongmin Bang, Inyoung Sung, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 22, 2021
MLDEG: A Machine Learning Approach to Identify Differentially Expressed Genes Using Network Property and Network PropagationJi Hwan Moon, Sangseon Lee, Minwoo Pak, et al.
Bioinformatics (Oxford, England)|March 25, 2020
Cancer subtype classification and modeling by pathway attention and propagationSangseon Lee, Sangsoo Lim, Taeheon Lee, et al.
Frontiers in Pharmacology|February 10, 2025
MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic levelInyoung Sung, Sangseon Lee, Dongmin Bang, et al.
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