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Scientific Reports|November 25, 2016
Measuring intratumor heterogeneity by network entropy using RNA-seq dataYoungjune Park, Sangsoo Lim, Jin-Wu Nam, et al.
International Journal of Molecular Sciences|November 26, 2022
DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and TransformerJihye Shin, Yinhua Piao, Dongmin Bang, et al.
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.
Bioinformatics (Oxford, England)|July 7, 2026
Improving hit discovery by integrating activity cliff sensitivity into active learningJunha Kim, Youngkuk Kim, Bonil Koo, 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.
Frontiers in Genetics|September 27, 2021
MONTI: A Multi-Omics Non-negative Tensor Decomposition Framework for Gene-Level Integrative AnalysisInuk Jung, Minsu Kim, Sungmin Rhee, 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.
Frontiers in Genetics|November 11, 2021
Corrigendum: MONTI: A Multi-Omics Non-Negative Tensor Decomposition Framework for Gene-Level Integrative AnalysisInuk Jung, Minsu Kim, Sungmin Rhee, 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.
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.
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