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Health Information Science and Systems|January 7, 2025
Draw+: network-based computational drug repositioning with attention walking and noise filteringJong-Hoon Park, Young-Rae ChoScientific Reports|May 2, 2024
Computational drug repositioning with attention walkingJong-Hoon Park, Young-Rae ChoInternational Journal of Molecular Sciences|July 9, 2022
Network-Based Approaches for Disease-Gene Association Prediction Using Protein-Protein Interaction NetworksYoonbee Kim, Jong-Hoon Park, Young-Rae ChoBioinformatics (Oxford, England)|July 15, 2025
FACT: Feature Aggregation and Convolution with Transformers for predicting drug classification codeGwang-Hyeon Yun, Jong-Hoon Park, Young-Rae ChoComputer Methods and Programs in Biomedicine|October 5, 2025
MEMOL: Mixture of experts for multimodal learning through multi-head attention to predict drug toxicityJae-Woo Chu, Jong-Hoon Park, Young-Rae ChoBriefings in Bioinformatics|February 5, 2026
TriDTI: tri-modal representation learning with cross-modal alignment for drug-target interaction predictionGwang-Hyeon Yun, Jong-Hoon Park, Young-Rae ChoBiomolecules|October 27, 2022
Drug-Disease Association Prediction Using Heterogeneous Networks for Computational Drug RepositioningYoonbee Kim, Yi-Sue Jung, Jong-Hoon Park, et al.IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|September 4, 2009
Predicting protein function by frequent functional association pattern mining in protein interaction networksYoung-Rae Cho, Aidong ZhangBioinformatics (Oxford, England)|June 29, 2018
PrimAlign: PageRank-inspired Markovian alignment for large biological networksKarel Kalecky, Young-Rae ChoBMC Genomics|December 26, 2019
LePrimAlign: local entropy-based alignment of PPI networks to predict conserved modulesSawal Maskey, Young-Rae ChoPageof 30